The critical environmental justice (CEJ) framework contends that inequalities are sustained through intersecting social categories, multi-scalarity, the perceived expendability of marginalized populations, and state-vested power. While this approach offers new pathways for environmental justice research, it overlooks the role of firms, suggesting a departure from long-standing political-economic theories, such as the treadmill of production (ToP), which elevate the importance of producers. In focusing on firms, we ask: how do firms operationalize diverse social forces to produce environmental injustice? What organizational logics (...) sustain these inequalities? To understand the firm-level dynamics shaping treadmill acceleration and environmental injustice, we utilize two concepts—social embeddedness and managerial authority—from economic sociology research on firms. The former refers to the social and non-economic factors that guide economic decision-making, whereas the latter refers to the power that reinforces worksite hierarchies. This theoretical paper argues that social embeddedness and managerial authority interact within firms to produce an organizational logic that sustains environmental injustice and ecological disorganization. We draw from historical and contemporary evidence on sugarcane plantations in Latin America and the Caribbean, with cases ranging from the colonial period to the present day. By bringing economic sociological concepts to bear on the CEJ and ToP frameworks, we advance debates on how firm-level dynamics shape environmental inequalities. (shrink)

Examining the role of dispositions (potentials and propensities) in both physics and psychology reveals that they are commonly derivative dispositions, so called because they derive from other dispositions. Furthermore, when they act, they produce further propensities. Together, therefore, they appear to form discrete degrees within a structure of multiple generative levels. It is then constructively hypothesized that minds and physical nature are themselves discrete degrees within some more universal structure. This gives rise to an effective dualism of mind and nature, (...) but one according to which they are still constantly related by causal connections. I suggest a few of the unified principles of operation of this more complicated but universal structure. (shrink)

Ian Normile begins this study from the premise that critical thinking is often conceptualized and practiced in problematically narrow and instrumentalized ways. Following Ronald Barnett, he suggests that the idea of critical being can help expand the theory and practice of critical thinking to better meet the needs of education and society. Essential to this effort is greater consideration of how critical thinking articulates with other aspects of being. Normile uses two examples of “non-critical” experiences that he argues can help (...) critical thinking expand into critical being. First, he explores the emotive power of wonder as a source of inspiration and emotional education, and as an essential aspect of critical thinking. He then argues that curiosity, wonder, contemplation, and critical thinking are complementary aspects of critical being. The second example is the Chinese concept of wu-wei, a form of efficacious non-critical action. Normile argues that inevitable breakdowns in wu-wei provide opportunities for critical reflection while the unlearning common to both wonder and wu-wei facilitates receptivity to new perspectives and possibilities beyond the boundaries of the familiar; in this state, one is capable of facilitating the metacritique that is essential to truly transformative critical thinking. Normile concludes with some brief thoughts on implications for practice as a starting point for further inquiry. (shrink)

ABSTRACT I argue that this examination and appreciation for the shift to abductive reasoning should be extended to the intersection of neuroscience and novel brain-computer interfaces too. This paper highlights the implications of applying abductive reasoning to personalized implantable neurotechnologies. Then, it explores whether abductive reasoning is sufficient to justify insurance coverage for devices absent widespread clinical trials, which are better applied to one-size-fits-all treatments. INTRODUCTION In contrast to the classic model of randomized-control trials, often with a large number of (...) subjects enrolled, precision medicine attempts to optimize therapeutic outcomes by focusing on the individual.[i] A recent publication highlights the strengths and weakness of both traditional evidence-based medicine and precision medicine.[ii] Plus, it outlines a tension in the shift from evidence-based medicine’s inductive reasoning style (the collection of data to postulate general theories) to precision medicine’s abductive reasoning style (the generation of an idea from the limited data available).[iii] The paper’s main example is the application of precision medicine for the treatment of cancer.[iv] I argue that this examination and appreciation for the shift to abductive reasoning should be extended to the intersection of neuroscience and novel brain-computer interfaces too. As the name suggests, brain-computer interfaces are a significant advancement in neurotechnology that directly connects someone’s brain to external or implanted devices.[v] Among the various kinds of brain-computer interfaces, adaptive deep brain stimulation devices require numerous personalized adjustments to their settings during the implantation and computation stages in order to provide adequate relief to patients with treatment-resistant disorders. What makes these devices unique is how adaptive deep brain stimulation integrates a sensory component to initiate the stimulation. While not commonly at the level of sophistication as self-supervising or generative large language models,[vi] they currently allow for a semi-autonomous form of neuromodulation. This paper highlights the implications of applying abductive reasoning to personalized implantable neurotechnologies. Then, it explores whether abductive reasoning is sufficient to justify insurance coverage for devices absent widespread clinical trials, which are better applied to one-size-fits-all treatments.[vii] ANALYSIS I. The State of Precision Medicine in Oncology and the Epistemological Shift While a thorough overview of precision medicine for the treatment of cancer is beyond the scope of this article, its practice can be roughly summarized as identifying clinically significant characteristics a patient possesses (e.g., genetic traits) to land on a specialized treatment option that, theoretically, should benefit the patient the most.[viii] However, in such a practice of stratification patients fall into smaller and smaller populations and the quality of evidence that can be applied to anyone outside these decreases in turn.[ix] As inductive logic helps to articulate, the greater the number of patients that respond to a particular therapy the higher the probability of its efficacy. By straying from this logical framework, precision medicine opens the treatment of cancer to more uncertainty about the validity of these approaches to the resulting disease subcategories.[x] Thus, while contemporary medical practices explicitly describe some treatments as “personalized”, they ought not be viewed as inherently better founded than other therapies.[xi] A relevant contemporary case of precision medicine out of Norway focuses on the care of a patient with cancer between the ventricles of the heart and esophagus, which had failed to respond to the standard regimen of therapies over four years.[xii] In a last-ditch effort, the patient elected to pay out-of-pocket for an experimental immunotherapy (nivolumab) at a private hospital. He experienced marked improvements and a reduction in the size of the tumor. Understandably, the patient tried to pursue further rounds of nivolumab at a public hospital. However, the hospital initially declined to pay for it given the “lack of evidence from randomised clinical trials for this drug relating to this [patient’s] condition.”[xiii] In rebuttal to this claim, the patient countered that he was actually similar to a subpopulation of patients who responded in “open‐label, single arm, phase 2 studies on another immune therapy drug” (pembrolizumab).[xiv] Given this interpretation of the prior studies and the patient’s response, further rounds of nivolumab were approved. Had the patient not had improvements in the tumor’s size following a round of nivolumab, then pembrolizumab’s prior empirical evidence in isolation would have been insufficient, inductively speaking, to justify his continued use of nivolumab.[xv] The case demonstrates a shift in reasoning from the traditional induction to abduction. The phenomenon of ‘cancer improvement’ is considered causally linked to nivolumab and its underlying physiological mechanisms.[xvi] However, “the weakness of abductions is that there may always be some other better, unknown explanation for an effect. The patient may for example belong to a special subgroup that spontaneously improves, or the change may be a placebo effect. This does not mean, however, that abductive inferences cannot be strong or reasonable, in the sense that they can make a conclusion probable.”[xvii] To demonstrate the limitations of relying on the abductive standard in isolation, commentators have pointed out that side effects in precision medicine are hard to rule out as being related to the initial intervention itself unless trends from a group of patients are taken into consideration.[xviii] As artificial intelligence (AI) assists the development of precision medicine for oncology, this uncertainty ought to be taken into consideration. The implementation of AI has been crucial to the development of precision medicine by providing a way to combine large patient datasets or a single patient with a large number of unique variables with machine learning to recommend matches based on statistics and probability of success upon which practitioners can base medical recommendations.[xix] The AI is usually not establishing a causal relationship[xx] – it is predicting. So, as AI bleeds into medical devices, like brain-computer interfaces, the same cautions about using abductive reasoning alone should be carried over. II. Responsive Neurostimulation, AI, and Personalized Medicine Like precision medicine in cancer treatment, computer-brain interface technology similarly focuses on the individual patient through personalized settings. In order to properly expose the intersection of AI, precision medicine, abductive reasoning, and implantable neurotechnologies, the descriptions of adaptive deep brain stimulation systems need to deepen.[xxi] As a broad summary of adaptive deep brain stimulation, to provide a patient with the therapeutic stimulation, a neural signal, typically referred to as a local field potential,[xxii] must first be detected and then interpreted by the device. The main adaptive deep brain stimulation device with premarket approval, the NeuroPace Responsive Neurostimulation system, is used to treat epilepsy by detecting and storing “programmer-defined phenomena.”[xxiii] Providers can optimize the detection settings of the device to align with the patient’s unique electrographic seizures as well as personalize the reacting stimulation’s parameters.[xxiv] The provider adjusts the technology based on trial and error. One day machine learning algorithms will be able to regularly aid this process in myriad ways, such as by identifying the specific stimulation settings a patient may respond to ahead of time based on their electrophysiological signatures.[xxv] Either way, with AI or programmers, adaptive neurostimulation technologies are individualized and therefore operate in line with precision medicine rather than standard treatments based on large clinical trials. Contemporary neurostimulation devices are not usually sophisticated enough to be prominent in AI discussions where the topics of neural networks, deep learning, generative models, and self-attention dominate the conversation. However, implantable high-density electrocorticography arrays (a much more sensitive version than adaptive deep brain stimulation systems use) have been used in combination with neural networks to help patients with neurologic deficits from a prior stroke “speak” through a virtual avatar.[xxvi] In some experimental situations, algorithms are optimizing stimulation parameters with increasing levels of independence.[xxvii] An example of neurostimulation that is analogous to the use of nivolumab in Norway surrounds a patient in the United States who was experiencing both treatment-resistant OCD and temporal lobe epilepsy.[xxviii]Given the refractory nature of her epilepsy, implantation of an adaptive deep brain stimulation system was indicated. As a form of experimental therapy, her treatment-resistant OCD was also indicated for the off-label use of an adaptive deep brain stimulation set-up. Another deep brain stimulation lead, other than the one implanted for epilepsy, was placed in the patient’s right nucleus accumbens and ventral pallidum region given the correlation these nuclei had with OCD symptoms in prior research. Following this, the patient underwent “1) ambulatory, patient-initiated magnet-swipe storage of data during moments of obsessive thoughts; (2) lab-based, naturalistic provocation of OCD-related distress (naturalistic provocation task); and (3) lab-based, VR [virtual reality] provocation of OCD-related distress (VR provocation task).”[xxix] Such signals were used to identify when to deliver the therapeutic stimulation in order to counter the OCD symptoms. Thankfully, following the procedure and calibration the patient exhibited marked improvements in their OCD symptoms and recently shared her results publicly.[xxx] In both cases, there is a similar level of abductive justification for the efficacy of the delivered therapy. In the case study in which the patient was treated with adaptive deep brain stimulation, they at least had their neural activity tested in various settings to determine the optimum parameters for treatment to avoid them being based on guesswork. Additionally, the adaptive deep brain stimulation lead was already placed before the calibration trials were conducted, meaning that the patient had already taken on the bulk of the procedural risk before the efficacy could be determined. Such an efficacy test could have been replicated in the first patient’s cancer treatment, had it been biopsied and tested against the remaining immunotherapies in vitro. Yet, in the case of cancer with few options, one previous dose of a drug that appeared to work on the patient may justify further doses. However, as the Norwegian case presents, corroboration with known responses to a similar drug (from a clinical trial) could be helpful to validate the treatment strategy. (It should be noted that both patients were resigned to these last resort options regardless of the efficacy of treatment.) There are some elements of inductive logic seen with adaptive deep brain stimulation research in general. For example, abductively the focus could be that patient X’s stimulation parameters are different from patient Y’s and patient Z’s. In contrast, when grouped as subjects who obtained personalized stimulation, patients X, Y, and Z demonstrate an inductive aspect to this approach’s safety and/or efficacy. The OCD case holds plenty of abductive characteristics in line with precision medicine’s approach to treating cancer and as more individuals try the method, there will be additional data. With the gradual integration of AI into brain-computer interfaces in the name of efficacy, this reliance on abduction will continue, if not grow, over time. Moving forward, if a responsive deep brain stimulation treatment is novel and individualized (like the dose of nivolumab) and there is some other suggestion of efficacy (like clinical similarities to other patients in the literature), then it may justify insurance coverage for the investigative intervention, absent other unrelated reasons to deny it. III. Ethical Implications and Next Steps While AI’s use in oncology and neurology is not yet as prominent as its use in other fields (e.g., radiology), it appears to be on the horizon for both.[xxxi] AI can be found in both the functioning of the neurotechnologies as well as the implementation of precision medicine. The increasing use of AI may serve to further individualize both oncologic and neurological therapies. Given these implications and the handful of publications cited in this article, it is important to have a nuanced evaluation of how these treatments, which heavily rely on abductive justification, ought to be managed. The just use an abductive approach may be difficult as AI infused precision medicine is further pursued. At baseline, such technology relies on a level of advanced technology literacy among the general public and could exclude populations who lack access to basic technological infrastructure or know-how from participation.[xxxii] Even among nations with adequate infrastructure, as more patients seek out implantable neurotechnologies, which require robust healthcare resources, the market will favor patient populations that can afford this complex care.[xxxiii] If patients already have the means to pay for an initial dose/use of a precision medicine product out of pocket, should insurance providers be required to cover subsequent treatments?[xxxiv] That is, if a first dose of a cancer drug or a deep brain stimulator over its initial battery life is successful, patients may feel justified in having the costs of further treatments covered. The Norwegian patient’s experience implies there is a precedent for the idea that some public insurance companies ought to cover successful cancer therapies, however, insurance companies may not all see themselves as obligated to cover neurotechnologies that rely on personalized settings or that are based on precision/abductive research more than on clinical trials. CONCLUSION The fact that the cases outlined above rely on abductive style of reasoning implies that there may not be as strong a justification for coverage by insurance, as they are both experimental and individualized, when compared to the more traditional large clinical trials in which groups have the same or a standardized protocol (settings/doses). If a study is examining the efficacy of a treatment with a large cohort of patients or with different experimental groups/phases, insurance companies may conclude that the resulting symptom improvements are more likely to be coming from the devices themselves. A preference for inductive justification may take priority when ruling in favor of funding someone’s continued use of an implantable neurostimulator. There are further nuances to this discussion surrounding the classifications of these interventions as research versus clinical care that warrant future exploration, since such a distinction is more of a scale[xxxv] than binary and could have significant impacts on the “right-to-try” approach to experimental therapies in the United States.[xxxvi] Namely, given the inherent limitations of conducting large cohort trials for deep brain stimulation interventions on patients with neuropsychiatric disorders, surgically innovative frameworks that blend abductive and inductive methodologies, like with sham stimulation phases, have traditionally been used.[xxxvii] Similarly, for adaptive brain-computer interface systems, if there are no large clinical trials and instead only publications that demonstrate that something similar worked for someone else, then, in addition to the evidence that the first treatment/dose worked for the patient in question, the balance of reasoning would be valid and arguably justify insurance coverage. As precision approaches to neurotechnology become more common, frameworks for evaluating efficacy will be crucial both for insurance coverage and for clinical decision making. ACKNOWLEDGEMENT This article was originally written as an assignment for Dr. Francis Shen’s “Bioethics & AI” course at Harvard’s Center for Bioethics. I would like to thank Dr. Shen for his comments as well as my colleagues in the Lázaro-Muñoz Lab for their feedback. - [i] Jonathan Kimmelman and Ian Tannock, “The Paradox of Precision Medicine,” Nature Reviews. Clinical Oncology 15, no. 6 (June 2018): 341–42, https://doi.org/10.1038/s41571-018-0016-0. [ii] Henrik Vogt and Bjørn Hofmann, “How Precision Medicine Changes Medical Epistemology: A Formative Case from Norway,” Journal of Evaluation in Clinical Practice 28, no. 6 (December 2022): 1205–12, https://doi.org/10.1111/jep.13649. [iii] David Barrett and Ahtisham Younas, “Induction, Deduction and Abduction,” Evidence-Based Nursing 27, no. 1 (January 1, 2024): 6–7, https://doi.org/10.1136/ebnurs-2023-103873. [iv] Vogt and Hofmann, “How Precision Medicine Changes Medical Epistemology,” 1208. [v] Wireko Andrew Awuah et al., “Bridging Minds and Machines: The Recent Advances of Brain-Computer Interfaces in Neurological and Neurosurgical Applications,” World Neurosurgery, May 22, 2024, S1878-8750(24)00867-2, https://doi.org/10.1016/j.wneu.2024.05.104. [vi] Mark Riedl, “A Very Gentle Introduction to Large Language Models without the Hype,” Medium (blog), May 25, 2023, https://mark-riedl.medium.com/a-very-gentle-introduction-to-large-language-models-without-the-hype-5 f67941fa59e. [vii] David E. Burdette and Barbara E. Swartz, “Chapter 4 - Responsive Neurostimulation,” in Neurostimulation for Epilepsy, ed. Vikram R. Rao (Academic Press, 2023), 97–132, https://doi.org/10.1016/B978-0-323-91702-5.00002-5. [viii] Kimmelman and Tannock, 2018. [ix] Kimmelman and Tannock, 2018. [x] Simon Lohse, “Mapping Uncertainty in Precision Medicine: A Systematic Scoping Review,” Journal of Evaluation in Clinical Practice 29, no. 3 (April 2023): 554–64, https://doi.org/10.1111/jep.13789. [xi] Kimmelman and Tannock, “The Paradox of Precision Medicine.” [xii] Vogt and Hofmann, 1206. [xiii] Vogt and Hofmann, 1206. [xiv] Vogt and Hofmann, 1206. [xv] Vogt and Hofmann, 1207. [xvi] Vogt and Hofmann, 1207. [xvii] Vogt and Hofmann, 1207. [xviii] Vogt and Hofmann, 1210. [xix] Mehar Sahu et al., “Chapter Three - Artificial Intelligence and Machine Learning in Precision Medicine: A Paradigm Shift in Big Data Analysis,” in Progress in Molecular Biology and Translational Science, ed. David B. Teplow, vol. 190, 1 vols., Precision Medicine (Academic Press, 2022), 57–100, https://doi.org/10.1016/bs.pmbts.2022.03.002. [xx] Stefan Feuerriegel et al., “Causal Machine Learning for Predicting Treatment Outcomes,” Nature Medicine 30, no. 4 (April 2024): 958–68, https://doi.org/10.1038/s41591-024-02902-1. [xxi] Sunderland Baker et al., “Ethical Considerations in Closed Loop Deep Brain Stimulation,” Deep Brain Stimulation 3 (October 1, 2023): 8–15, https://doi.org/10.1016/j.jdbs.2023.11.001. [xxii] David Haslacher et al., “AI for Brain-Computer Interfaces,” 2024, 7, https://doi.org/10.1016/bs.dnb.2024.02.003. [xxiii] Burdette and Swartz, “Chapter 4 - Responsive Neurostimulation,” 103–4; “Premarket Approval (PMA),” https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=P100026. [xxiv] Burdette and Swartz, “Chapter 4 - Responsive Neurostimulation,” 104. [xxv] Burdette and Swartz, 126. [xxvi] Sean L. Metzger et al., “A High-Performance Neuroprosthesis for Speech Decoding and Avatar Control,” Nature 620, no. 7976 (August 2023): 1037–46, https://doi.org/10.1038/s41586-023-06443-4. [xxvii] Hao Fang and Yuxiao Yang, “Predictive Neuromodulation of Cingulo-Frontal Neural Dynamics in Major Depressive Disorder Using a Brain-Computer Interface System: A Simulation Study,” Frontiers in Computational Neuroscience 17 (March 6, 2023), https://doi.org/10.3389/fncom.2023.1119685; Mahsa Malekmohammadi et al., “Kinematic Adaptive Deep Brain Stimulation for Resting Tremor in Parkinson’s Disease,” Movement Disorders 31, no. 3 (2016): 426–28, https://doi.org/10.1002/mds.26482. [xxviii] Young-Hoon Nho et al., “Responsive Deep Brain Stimulation Guided by Ventral Striatal Electrophysiology of Obsession Durably Ameliorates Compulsion,” Neuron 0, no. 0 (October 20, 2023), https://doi.org/10.1016/j.neuron.2023.09.034. [xxix] Nho et al. [xxx] Nho et al.; Erik Robinson, “Brain Implant at OHSU Successfully Controls Both Seizures and OCD,” OHSU News, accessed March 3, 2024, https://news.ohsu.edu/2023/10/25/brain-implant-at-ohsu-successfully-controls-both-seizures-and-ocd. [xxxi] Awuah et al., “Bridging Minds and Machines”; Haslacher et al., “AI for Brain-Computer Interfaces.” [xxxii] Awuah et al., “Bridging Minds and Machines.” [xxxiii] Sara Green, Barbara Prainsack, and Maya Sabatello, “The Roots of (in)Equity in Precision Medicine: Gaps in the Discourse,” Personalized Medicine 21, no. 1 (January 2024): 5–9, https://doi.org/10.2217/pme-2023-0097. [xxxiv] Green, Prainsack, and Sabatello, 7. [xxxv] Robyn Bluhm and Kirstin Borgerson, “An Epistemic Argument for Research-Practice Integration in Medicine,” The Journal of Medicine and Philosophy: A Forum for Bioethics and Philosophy of Medicine 43, no. 4 (July 9, 2018): 469–84, https://doi.org/10.1093/jmp/jhy009. [xxxvi] Vijay Mahant, “‘Right-to-Try’ Experimental Drugs: An Overview,” Journal of Translational Medicine 18 (June 23, 2020): 253, https://doi.org/10.1186/s12967-020-02427-4. [xxxvii] Michael S. Okun et al., “Deep Brain Stimulation in the Internal Capsule and Nucleus Accumbens Region: Responses Observed during Active and Sham Programming,” Journal of Neurology, Neurosurgery & Psychiatry 78, no. 3 (March 1, 2007): 310–14, https://doi.org/10.1136/jnnp.2006.095315. (shrink)

Psychologists have a long tradition of studying human behavior, strengths and weaknesses, biases and limitations. Economists have constructed normative frameworks that capture the most important elements of human decision-making and developed powerful tools to determine individual and strategic choices in a variety of situations. Only recently have their strengths been combined and economic models enriched with key ingredients found in psychological studies.This volume covers four of the most important themes in this interdisciplinary field: feelings, inconsistencies, limitations and biases. Each chapter (...) contributes to a more comprehensive and accurate modelling and description of human behavior. Its four parts cover: the origins, formation, and evolution of beliefs; consistency, commitment, and intertemporal separability of dynamic choices; attention, preference formation, and risk evaluation in limited cognition; and affective behaviour, specifically the role of emotions in decision making. (shrink)

An essay review of the Routledge Revival edition of Oswald Spengler, 'Man and Technics (1932).

La mentoría como programa de formación en el inicio de la vida profesional del docente principiante se presenta como una oportunidad para la mejora de la calidad de las instituciones educativas y de sus agentes. Al mismo tiempo, revierte sobre la comunidad y el territorio donde se ubica. En contextos reconocidos como vulnerables se necesitan agentes educativos vocacionales y con un alto nivel de resiliencia, y con una meta clara: formar a personas plenas que contribuyan con su sentir, ser y (...) hacer al desarrollo de la comunidad en la que habitan. (shrink)

Introduction: Archaeology and Post-Structuralism Ian Bapty and Tim Yates i If it recedes one day, leaving behind its works and signs on the shores of our ...

An exploration of the possible place and purpose of a postmodernizing planning, in the pursuit of ecological wisdom - defined, in Ken Wilber's terms, as how to get people to agree on how to live in accord with nature. Placemaking - conceived as a form of applied Integral Ecology - is hypothesized as an appropriate planning response, driven by a more explicit "spirit-friendly" outlook, with an associated critique of contemporary conventional notions of growth and sustainability. Place and placemaking are viewed (...) as furnishing the rich relief of an ecologically wise planning. (shrink)

The teaching of critical thinking in public schooling is a central aim. Yet, despite its widespread acceptance in curriculum documents, critical thinking is rarely taught. Motivated by Onosko (1991), and by the efforts of some post-secondary instructors of critical thinking to get critical thinking taught in schools, I look at the recent literature on (a) critical thinking in the social studies, (b) definitions of, and programs in critical thinking, (c) teachers beliefs, and (d) the milieus in which teachers work. I (...) pose three questions and provide tentative hypotheses as to why critical thinking is not being implemented in schools. (shrink)

This book uses philosophical analysis to argue that there are tensions associated with using results of high stakes tests to predict students’ future potential. The implications of these issues for the interpretation of test scores in general are then elucidated before their connotations for academic selection are considered. After a brief overview of the history of academic selection in the United Kingdom, and a review of evidence pertaining to its consequences, it is argued that the practice of using the results (...) of contemporary high stakes tests to make important decisions about students incurs logical and moral problems that a conscientious educator cannot ignore. The gravity of the moral transgression depends on the purpose and significance of the test and, in the case of high stakes tests used for academic selection purposes, it is argued that, not only can the moral wrong be highly significant, but better solutions are within reach. (shrink)

Defending a non-value-based and therefore purely empirical conception of overall freedom must involve showing how available actions can, at least in theory, be individuated and counted. The problems encountered here include the fact that actions can have an indefinite number of descriptions, that they can be subjected to indefinite spatio-temporal division, and that they give rise to indefinitely long causal chains of events. Solutions to these problems can be found through an application of Donald Davidson’s notion of actions as particulars, (...) and by thinking of act-tokens as located in particular units within a space-time grid. Once possible actions have been adequately individuated, a formula for the measurement of freedom can be constructed, adapting a formula originally proposed by Hillel Steiner and taking into account the compossibility of particular actions and the probability of their being unconstrained. Careful attention to the structure of sets of available actions helps to mitigate some of the supposed counterintuitive implications of this analysis. Furthermore, subscribing to this empirical approach to the measurement of overall freedom does not necessarily imply subscribing to an empiricist or physicalist conception of action. (shrink)

A distinction should be made between the theoretical possibility of measuring freedom and the practical possibility of doing so. Most of this book has been concerned with the theoretical possibility of measuring freedom. Given the various practical difficulties involved in quantifying available action, some empirical indicators need to be found. Nevertheless, the search for such indicators without a theoretical understanding of that which they are intended to indicate is difficult. One possibility is to be found in a combination of an (...) exchange-value metric and a metric of broadly defined political freedom-types. (shrink)

What do we mean when we talk of an 'assemblage' in contemporary theory? Any and every thing, or more precisely, any and every kind of collection of things, could now be called an assemblage. The constant and seemingly limitless expansion of the term's range of applications begs the question, if any and every kind of collection of things is an assemblage, then what advantage is there is in using this term and not some other term, or indeed no term at (...) all? What makes an assemblage an assemblage, and not some other kind of collection of things? This book advances beyond this impasse and offers practical help in thinking about and using assemblage theory for contemporary cultural and social research, in order to: - Answer the question: what is assemblage theory? - Explain why assemblage theory is necessary - Provide clear instructions on how to use assemblage theory The first book of it's kind, Ian Buchanan's guide maps the beginnings of a brand new field within the humanities. (shrink)

It appears that the attitudes of health professionals differ towards suicide and voluntary active euthanasia. An acceptance of, if not an agreement with, voluntary active eutha nasia exists, while there is a general consensus that suicide should be prevented. This paper searches for a working definition of suicide, to discover ethical reasons for the negative value that suicide assumes, and also to provide a term of reference when comparing suicide with euthanasia. On arriving at a working definition of suicide, it (...) is compared with voluntary active euthanasia. An analysis of utilitarian and deontological considerations is provided and proves to be inconclusive with respect to the ethical principles informing the attitudes of professionals. Therefore, a search for other influences is attempted; this indicates that psychological influences inform attitudes to a greater degree than ethical principles. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Foucault’s Renaissance Episteme Reassessed: An Aristotelian CounterblastIan MacleanThere seem to me to be two good reasons for looking at Foucault’s Renaissance episteme again, even though specialists of the Renaissance have given it short shrift and Foucault himself does not seem to have set great store by it in his later writings. 1 The first is that in general books on Foucault accounts of it are still given in a (...) neutral or even approving way, as though neither the concept of episteme (which suggests both that mind-sets or paradigms or epistemes are all-constraining) nor the account of the Renaissance episteme in particular (which is given a predominantly Platonic and hermetic character) require modification, if not refutation. 2 I shall suggest that although in some sense we are all prisoners of our mind-sets, there are ways in which we can escape from this prison 3 ; and with respect to the Renaissance in particular, I shall claim that Aristotelianism, not Platonism, is the appropriate context in which to see the dominant universe of discourse of the day and that this philosophy can be shown to possess the resources for escaping its limitations. To do this I shall [End Page 149] give a brief resume of Foucault’s episteme in general and the Renaissance episteme in particular. Then I shall show first, that the Platonist features which he cites as typical are actively refuted at that time and cannot be described as dominant without severe qualification; second, that the versions of Aris-totelianism widely taught in universities and schools give quite different accounts of these features; and third, that this form of thinking can be shown to have the freedom of self-critique in the very areas in which Foucault chooses to see Renaissance philosophy as both constraining and constrained.In 1969 Foucault produced his “theoretical work” L’Archéologie du savoir as the methodological systematization of his earlier historical writings, L’Histoire de la folie à l’âge classique (l961), La Naissance de la clinique (l963), and Les Mots et les choses (1966). In this work man is described as a modern self-invention, fashioned from a particular configuration of knowledge and destined soon to disappear. Foucault’s history of man is a story about the way he constituted himself as a subject and then made his body, his behavior, his reason, and his consciousness the object of his study and a field to be controlled, regulated, trained, and coerced. In this analysis man’s “rationality” becomes not a faculty but an authoritarian straitjacket. What Foucault sets out to investigate is a very fundamental form of ontology but not one associated with profound knowledge; it is a superficial and finite, if largely invisible, field, which is discontinuous, not defined by the agenda of the modern state of any associated discipline, and peopled by “utterances” (énoncés) which are only graspable in their differences and their dispersion. If coagulations of these “utterances” (formations discursives) occur at all, they appear only in the form of consistent relations: the objects to which they “refer” are no more than objectifications whose scientific status cannot be established and whose meaning cannot be recovered by semantic or rhetorical analysis. In calling his previous book Les Mots et les choses, he was being explicitly ironic, for neither the words nor the things of the title have any substance to them: they are not presences but absences. The description made by the historian is remote from his object, indirect, incomplete; it describes a “preconceptual field” in which the “preconcepts” are no more than organizing operators or functions revealing relationships of dependence, processes of validation, contingent theories of truth. The “utterances” which these “preconcepts” inform come together in “discourses” which are neither systems nor mere aggregations of knowledge; archaeological history as practiced by Foucault uncovers not a “mentality” but an “episteme,” which he defines as follows:By episteme we mean... the total set of relations that unite, at a given period, the discursive practices that give rise to epistemological figures, sciences, possibly formalized systems.... The episteme is not a form of knowledge or type of rationality which, crossing the boundaries [End Page 150] of the most... (shrink)

A growing interest in affect holds much promise for anthropology by providing a new frame to examine and articulate subjective and intersubjective states, which are key parts of human consciousness and behavior. Affect has its roots in the social, an observation that did not go unnoticed by Durkheim and since then has been kept in view by those social scientists interested in the emotions, feelings, and subjectivity. However, the challenge for ethnographers has always been to articulate in words and conceptualize (...) theoretically what is only felt and sensed. What we are calling “evocative ethnography” is an ethnography that meets this challenge to make room for, and hold onto, feelings and affect in its description and explanation. The papers in this special issue accomplish that, as well as provide some anthropological insights into affect theory. (shrink)

This book takes Edmund Husserl's phenomenology and applies it to help psychotherapy practitioners formulate complex psychological problems. The reader will learn about Husserl's system of understanding and its concepts that point to first-person lived experience, and about the work of Husserl scholars who have developed a way to be precise about the experiences that clients have. Through exploring the connection between academic philosophy of consciousness and mental health, themes of biopsychosocial treatment planning, psychopathology of personality and psychological disorders, and the (...) treatment of complex psychological problems become clear. The author shows that Husserlian phenomenology can be used in the design of interventions for clients in a process called formulation. Once the intentionality of consciousness is understood, by asking simple questions, it becomes possible to define problematic experiences. This is a means of creating informed consent for treatment and it makes it clear to clients what is happening for them, so helping them understand themselves and how they see the world. We also see how Husserl's phenomenology is a vehicle for psychotherapists to present their knowledge about the research literature of what has been found to be effective care. This volume applies the concepts and practices of phenomenology in a concrete way, relating them to the practice of therapy and showing the value of a qualitative approach to understanding mental processes and the nature of human beings as motivated by values, meanings and other conscious experiences. This is a readable text in simple language that condenses key aspects of Husserl's thinking in relation to the theory and practice of psychotherapy, and it is suitable for philosophers and practitioners of psychology, psychiatry, and the psychotherapies, including psychoanalysis. (shrink)