Farm to school programs are at the vanguard of efforts to create an alternative agrifood system in the United States. Regionally-based, mid-tier food distributors may play an important role in harnessing the potential of farm to school programs to create viable market opportunities for small- and mid-size family farmers, while bringing more locally grown fresh food to school cafeterias. This paper focuses on the perspectives of food distributors. Our findings suggest that the food distributors profiled have the potential to (...) help institutionalize farm to school programs. Notably, their relationships with farmers may be a critical element in expanding the scale and scope of local school food procurement. Their ability to catalyze local school food procurement however, is limited by the structural context in which farm to school programs operate. Specifically, the oppositional school year and agriculture production cycle, and tight food service budget constraints disembed and limit the potential of farm to school programs to decrease the “marketness” of school food procurement and to shift it from a process based largely on price to one that is more territorially embedded. As farm to school programs continue to gain support, regionally-based food distributors that have the meaningful relationships necessary to re-embed the school food service market back into the larger society may be critical to enabling advocates to achieve their goals. (shrink)

This paper explores how civic food networks (CFN) use public forums to engage with other initiatives and stakeholders in civil society. It develops the concept of social infrastructure to capture the assemblages of discourses, networking and spaces around agrifood forums. The research then examines how social infrastructures support CFNs’ capacity to organize communities and challenge power relations in the agrifood system. Two cases are compared: News&Market, a Taiwan-based agrifood news platform which also sells organic food products, (...) and Foodthink, a collective blog created by a farmers’ market in China. Both started in the late 2010s but one focuses on policy critiques while the other focuses on market critiques. A comparison finds that CFNs develop different critiques to address the specific challenges facing local alternative food networks (AFNs), and use networking and space creation to promote social dialogue with other stakeholders or build networks across AFNs and NGOs. The paper argues that a social infrastructure such as that built around agrifood forums enables CFNs to shape food democracy and food citizenship practices in new ways. (shrink)

Public goods, as well as commercial commodities, are affected by exclusive arrangements secured by intellectual property (IP) rights. These rights serve as an incentive to invest human and material capital in research and development. Particularly in the life sciences, IP rights regulate objects such as food and medicines that are key to securing human rights, especially the right to adequate food and the right to health. Consequently, IP serves private (economic) and public interests. Part of this charge claims that the (...) current IP regime is privatizing the very building blocks of research and development – that used to be part of the commons. The public domain, in contrast to the private domain, may be the locus of much more diverse forms of creativity that at the same time ensures a wider plurality of productive traditions. An IP regime must support a sense of public morality because it is dependent upon civil support. This inevitably prompts questions of what are “good” exclusive rights and what are “bad” exclusive rights, and how shall such IP rights be developed. We argue that the democratization of the current IP regimes is an important first step to respond to these issues. (shrink)

The reaction to conventional agriculture and food systems has generated a host of alternative social movements in the past several decades. Many progressive agrifood researchers have researched these movements, exploring their strengths, weaknesses, and failures. Most such research is abstracted from the movements themselves. This paper proposes a new way of self-organization that, while fulfilling traditional university demands on researchers, will provide research support for progressive agrifood movements by transcending the boundaries of disciplines and individual universities.

Notions such as terroir and “Slow Food,” which originated in Mediterranean Europe, have emerged as buzzwords around the globe, becoming commonplace across Europe and economically important in the United States and Canada, Latin America, Africa, and Asia. Given the increased global prominence of terroir and regulatory frameworks like geographical indications, we argue that the associated conceptual tools have become more relevant to scholars working within the “alternative food networks” framework in the United States and United Kingdom. Specifically, the Local (...) Agrifood Systems perspective, first articulated in 1996 by French scholars, seeks to understand the relationship between the development of local food systems and specific territories. We review the empirical and theoretical literature that comprises each of these perspectives, highlighting three areas in which SYAL scholarship may be relevant to AFN researchers. First, while AFN scholars tend to understand the “local” in terms of positionality, in a distributionist sense, SYAL studies frame local food systems as anchored within particular territories. Second, SYAL research places significant emphasis on collectivity, both in terms of collective institutions and shared forms of knowledge and identity. Third, although both perspectives are framed in opposition of the industrialization of the global food system, AFN scholars focus more on alternative distribution schemes, while SYAL researchers favor territorially anchored structures. (shrink)

In this article, we assess the generalizability of the feminist agrifood systems model developed by Sachs et al.. We ask to what extent might these findings generated from the study of Pennsylvania women farmers be generalized to other regions of the U.S. We define and situate the FAST theory to the Michigan, U.S. context in order to better understand how the shifts in agriculture and women’s roles in the U.S. based on our data, align or depart with that experienced (...) by women farmers in the northeast. We find that there are many similarities in the experiences of these two populations, but there are also some differences. Five primary differences in the two populations are articulated. Michigan women farmers appear to struggle to assert the identity of a farmer; struggle to access land via inheritance; are income dependent on males; often work in value-added production that does not challenge traditionally-coded ‘women’s work’; and perpetuate on-farm education/networks based on nostalgia which may further the distance between producers and consumers. We conclude with a brief discussion of what may account for these differences. (shrink)

Farmers, especially those within historically underserved populations, utilize networks to access educational training, community support, and market opportunities. Through a case study of the Pennsylvania Women's Agriculture Network's three-year Women's Rural–Urban Network (WRUN) initiative, this research analyzes the process of developing solidarity across geographic and racial lines while building a statewide farmers' network. Applying White's (2018) Collective Agency Community Resilience (CACR) theoretical framework to this initiative offers a way to evaluate how socially marginalized groups in agriculture build farmers’ (...) class='Hi'>networks to resist oppression within the white heteropatriarchal agricultural system. This research draws on interviews with 12 steering committee members and three years of participant observation to understand how participants assessed the initiative. Findings suggest that changes to existing programming were influential in creating a place for diverse women farmers and growers to meet, thus contributing to prefigurative politics; however, the inability to form commons as praxis and economic autonomy due to divergent needs, varying roles in the agrifood system, and different levels of engagement with racial justice deterred network-building efforts. This initiative examines food justice theory through praxis. Findings offer insights for predominately white non-profits, research institutions, and activists in future anti-racism and food justice efforts in the agrifood system. (shrink)

This paper draws from data collected from 500+ surveys, distributed twice from the same respondents (2020 and 2021), and forty-five face-to-face interviews (2022). The location studied is a metropolitan county in Colorado (USA). The research examined the discourses and practices having to do with organic and natural food consumption—note, too, the data were collected at the height of the COVID-19 pandemic. The findings upend conventional understandings of, and frameworks used to explain, consumer behavior. What are often presented as motivations in (...) prior studies are shown, instead, to be justifications; rationalizations after-the-fact. The paper troubles decision-making frameworks that cast motivations, attitudes, and intentions as “antecedents” to consumer behavior. Rather, the findings point to the significance of social networks, and in particular network diversity, for understanding and explaining the sayings (discourses) and doings (practices) of “individual” consumers. Discourses linked to health are also shown to be salient variables, though when situated within social networks those discourses are shown to have politics. Particular attention is devoted to explaining dietary shifts among those who reported the largest increases in the consumption of organic and natural foods between 2020 and 2021/22. The paper concludes discussing what the data mean from the standpoint of envisioning just and inclusive food system futures and agrifood policy that delivers on those ends. (shrink)

This paper represents one of the first critical social science interrogations of an agrifood just-in-case transition. The just-in-case transition speaks to a philosophy that values building buffers and flexibility into longer value chains to make them more resilient to shocks, which stands in contrast to the just-in-time philosophy with its emphasis on long, specialized, and often inflexible networks. Influenced by COVID-related disruptions and climate change induced uncertainties, the just-in-case transition examined here centers on the heightened interest in vertical (...) farm-anchored supply chains. Interviewing actors responsible for promoting vertical farm-anchored local supply chains in the US and Canada, I attempt to sketch out how these spaces, infrastructures, and practices care. Put differently, as understood through a feminist ethics of care, _whom_ and _what_ are cared for and _how_ is care practiced in these just-in-case transitions and _why_? Enumerative politics was observed in the data—the idea that we can make care count. Practices and discourses linked to infrastructural/supply chain transitions are highlighted that result in care being narrowly conceived as a technical or transactional matter. The paper concludes reflecting on what it means to afford just-in-case agrifood transitions animated by matters of care that hold greater emancipatory potentials. (shrink)

Consumer concerns pop up. They are relatedto the safety of agrifood products for people, foranimals, and for the environment as well as the socialand ethical implications of certain agrifoodproduction methods. At first sight, the WTO agreementand the SPS and TBT agreements appear to offersufficient legal scope to deal with these concerns andresolve trade conflicts. The events of recent years,however, have shown the limitations of theseagreements in dealing with cultural differencesbetween nations and in dealing with the social andpolitical pressure on (...) national governments to lay downrestrictive, trade distorting measures. It is vitalthat we consider the dynamic relationship betweennational governments, civil society, and the market.In the United States, Canada, and Europe, thisrealization is growing. We propose that these issuesshould be studied by experts in several disciplines:technical experts, hygiene experts and veterinarians,public administration experts, lawyers, philosophers,ethicists, sociologists, and, of course, economists.To unite these disciplines and provide a platform fordiscussion in the light of international tradeliberalisation, the cultural identity of distinctcommunities, and the functioning of the democraticnation state an international network is needed. Wetherefore propose establishing a network to explorethe issues and dynamics described above. The networkshould be international and interdisciplinary withparticipants, initially, from science and government.The purpose of the network would be to present newperspectives to the negotiating parties in the nextWTO round. The first steps to development of thisnetwork have since been taken and an initial group hasbeen established. (shrink)

To understand how regulation influences competitiveness and upgrading processes, this article focuses on the organizational changes involved in “rewarding regulation.” Through a qualitative study of two clusters in the agrifood industry in Nicaragua, it analyzes two types of regulation and their interaction with small producers’ production organizations: food safety and environmental sustainability. The analysis shows that regulation plays a crucial role in fostering changes in organizational practices and routines. This occurs when local organizations build new knowledge and skills to (...) upgrade products and production processes, while developing new connections among producers and between them to other private and public actors that support economic development. “Rewarding regulation” is part of a process of learning and creating networks that help build local know-how and generate supportive collective resources. (shrink)

The new business opportunities and prospects emerging in Europe within the Common Market and other Western and European countries also raise important ethical challenges. This work comprises a collection of ethical insights to enhance the conduct of business in an evolving Europe.

In artificial intelligence, recent research has demonstrated the remarkable potential of Deep Convolutional Neural Networks (DCNNs), which seem to exceed state-of-the-art performance in new domains weekly, especially on the sorts of very difficult perceptual discrimination tasks that skeptics thought would remain beyond the reach of artificial intelligence. However, it has proven difficult to explain why DCNNs perform so well. In philosophy of mind, empiricists have long suggested that complex cognition is based on information derived from sensory experience, often appealing (...) to a faculty of abstraction. Rationalists have frequently complained, however, that empiricists never adequately explained how this faculty of abstraction actually works. In this paper, I tie these two questions together, to the mutual benefit of both disciplines. I argue that the architectural features that distinguish DCNNs from earlier neural networks allow them to implement a form of hierarchical processing that I call “transformational abstraction”. Transformational abstraction iteratively converts sensory-based representations of category exemplars into new formats that are increasingly tolerant to “nuisance variation” in input. Reflecting upon the way that DCNNs leverage a combination of linear and non-linear processing to efficiently accomplish this feat allows us to understand how the brain is capable of bi-directional travel between exemplars and abstractions, addressing longstanding problems in empiricist philosophy of mind. I end by considering the prospects for future research on DCNNs, arguing that rather than simply implementing 80s connectionism with more brute-force computation, transformational abstraction counts as a qualitatively distinct form of processing ripe with philosophical and psychological significance, because it is significantly better suited to depict the generic mechanism responsible for this important kind of psychological processing in the brain. (shrink)

We show that previous results from epistemic network models showing the benefits of decreased connectivity in epistemic networks are not robust across changes in parameter values. Our findings motivate discussion about whether and how such models can inform real-world epistemic communities. As we argue, only robust results from epistemic network models should be used to generate advice for the real-world, and, in particular, decreasing connectivity is a robustly poor recommendation.

Decades of psychological research have been aimed at modeling how people learn features and categories. The empirical validation of these theories is often based on artificial stimuli with simple representations. Recently, deep neural networks have reached or surpassed human accuracy on tasks such as identifying objects in natural images. These networks learn representations of real‐world stimuli that can potentially be leveraged to capture psychological representations. We find that state‐of‐the‐art object classification networks provide surprisingly accurate predictions of human (...) similarity judgments for natural images, but they fail to capture some of the structure represented by people. We show that a simple transformation that corrects these discrepancies can be obtained through convex optimization. We use the resulting representations to predict the difficulty of learning novel categories of natural images. Our results extend the scope of psychological experiments and computational modeling by enabling tractable use of large natural stimulus sets. (shrink)

■ Evidence from functional neuroimaging studies on resting state suggests that there are two distinct anticorrelated cortical systems that mediate conscious awareness: an “extrinsic” system that encompasses lateral fronto-parietal areas and has been linked with processes of external input (external awareness), and an “intrinsic” system which encompasses mainly medial brain areas and..

Networks pervade social and economic life, and they play a prominent role in explaining a huge variety of social and economic phenomena. Standard economic theory did not give much credit to the role of networks until the early 1990s, but since then the study of the theory of networks has blossomed. At the heart of this research is the idea that the pattern of connections between individual rational agents shapes their actions and determines their rewards. The importance (...) of connections has in turn motivated the study of the very processes by which networks are formed. In Connections, Sanjeev Goyal puts contemporary thinking about networks and economic activity into context. He develops a general framework within which this body of research can be located. In the first part of the book he demonstrates that location in a network has significant effects on individual rewards and that, given this, it is natural that individuals will seek to form connections to move the network in their favor. This idea motivates the second part of the book, which develops a general theory of network formation founded on individual incentives. Goyal assesses the robustness of current research findings and identifies the substantive open questions. Written in a style that combines simple examples with formal models and complete mathematical proofs, Connections is a concise and self-contained treatment of the economic theory of networks, one that should become the natural source of reference for graduate students in economics and related disciplines. (shrink)

The rapid evolution of information, communication and entertainment technologies will transform the lives of citizens and ultimately transform society. This paper focuses on ethical issues associated with the likely convergence of virtual realities and social networks, hereafter VRSNs. We examine a scenario in which a significant segment of the world’s population has a presence in a VRSN. Given the pace of technological development and the popularity of these new forms of social interaction, this scenario is plausible. However, it brings (...) with it ethical problems. Two central ethical issues are addressed: those of privacy and those of autonomy. VRSNs pose threats to both privacy and autonomy. The threats to privacy can be broadly categorized as threats to informational privacy, threats to physical privacy, and threats to associational privacy. Each of these threats is further subdivided. The threats to autonomy can be broadly categorized as threats to freedom, to knowledge and to authenticity. Again, these three threats are divided into subcategories. Having categorized the main threats posed by VRSNs, a number of recommendations are provided so that policy-makers, developers, and users can make the best possible use of VRSNs. (shrink)

Information about the structure of a causal system can come in the form of observational data—random samples of the system's autonomous behavior—or interventional data—samples conditioned on the particular values of one or more variables that have been experimentally manipulated. Here we study people's ability to infer causal structure from both observation and intervention, and to choose informative interventions on the basis of observational data. In three causal inference tasks, participants were to some degree capable of distinguishing between competing causal hypotheses (...) on the basis of purely observational data. Performance improved substantially when participants were allowed to observe the effects of interventions that they performed on the systems. We develop computational models of how people infer causal structure from data and how they plan intervention experiments, based on the representational framework of causal graphical models and the inferential principles of optimal Bayesian decision‐making and maximizing expected information gain. These analyses suggest that people can make rational causal inferences, subject to psychologically reasonable representational assumptions and computationally reasonable processing constraints. (shrink)

According to Mednick’s (1962) theory of individual differences in creativity, creative individuals appear to have a richer and more flexible associative network than less creative individuals. Thus, creative individuals are characterized by “flat” (broader associations) instead of “steep” (few, common associations) associational hierarchies. To study these differences, we implement a novel computational approach to the study of semantic networks, through the analysis of free associations. The core notion of our method is that concepts in the network are related to (...) each other by their association correlations - overlap of similar associative responses (“association clouds”). We began by collecting a large sample of participants who underwent several creativity measurements and used a decision tree approach to divide the sample into low and high creative groups. Next, each group underwent a free association generation paradigm which allowed us to construct and analyze the semantic networks of both groups. Comparison of the semantic memory networks of persons with low creative ability and persons with high creative ability revealed differences between the two networks. The semantic memory network of persons with low creative ability seems to be more rigid, compared to the network of persons with high creative ability, in the sense that it is more spread out and breaks apart into more sub-parts. We discuss how our findings are in accord and extend Mednick’s (1962) theory and the feasibility of using network science paradigms to investigate high level cognition. (shrink)

Amid the many food safety scandals that have erupted in recent years, Chinese food activists and consumers are turning to the creation of alternative food networks to ensure better control over their food. These Chinese AFNs have not been documented in the growing literature on food studies. Based on in-depth interviews and case studies, this paper documents and develops a typology of AFNs in China, including community supported agriculture, farmers’ markets, buying clubs, and recreational garden plot rentals. We unpacked (...) the four standard dimensions of alternativeness of AFNs into eight elements and used these to examine the alternativeness of AFNs in China. We argue first that the landscape of alternativeness varies among different networks but the healthfulness of food is the most prominent element. Second, there is an inconsistency in values between AFN initiators and customers, which contributes to the uneven alternativeness of Chinese AFNs. Third, Chinese AFNs are strongly consumer driven, a factor that constrains their alternativeness at present. The inclusion of “real” peasants in the construction of AFNs in China is minimal. This paper adds to the existing literature on AFNs with an analysis of recent initiatives in China that have not been well documented before. By unpacking the dimensions of alternativeness into specific elements, this paper also provides an analytical framework for examining the alternativeness of AFNs especially nascent ones that have not developed a full spectrum of alternativeness. (shrink)

Indicators of the reliability of informants are essential for social learning in a society that is initially dominated by ignorance or superstition. Such reliability indicators should be based on meta-induction over records of truth-success. This is the major claim of this paper, and it is supported in two steps. One needs a non-circular justification of the method of meta-induction, as compared to other learning methods. An approach to this problem has been developed in earlier papers and is reported in section (...) 2. It is based on the predictive optimality of meta-inductive learning, under the assumption that objective success records are globally available. The rest of the paper develops an extension of this approach, so-called local meta-induction. Here individuals can access only success records of individuals in their immediate epistemic neighborhood. It is shown that local meta-inductive learning can spread reliable information over the entire population, and has clear advantages compared to success-independent social learning methods such as peer-imitation and authority-imitation.Send article to KindleTo send this article to your Kindle, first ensure [email protected] is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about sending to your Kindle. Find out more about sending to your Kindle. Note you can select to send to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be sent to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply. Find out more about the Kindle Personal Document Service.META-INDUCTION IN EPISTEMIC NETWORKS AND THE SOCIAL SPREAD OF KNOWLEDGEVolume 9, Issue 2Gerhard SchurzDOI: https://doi.org/10.1017/epi.2012.6Your Kindle email address Please provide your Kindle [email protected]@kindle.com Available formats PDF Please select a format to send. By using this service, you agree that you will only keep articles for personal use, and will not openly distribute them via Dropbox, Google Drive or other file sharing services. Please confirm that you accept the terms of use. Cancel Send ×Send article to Dropbox To send this article to your Dropbox account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about sending content to Dropbox. META-INDUCTION IN EPISTEMIC NETWORKS AND THE SOCIAL SPREAD OF KNOWLEDGEVolume 9, Issue 2Gerhard SchurzDOI: https://doi.org/10.1017/epi.2012.6Available formats PDF Please select a format to send. By using this service, you agree that you will only keep articles for personal use, and will not openly distribute them via Dropbox, Google Drive or other file sharing services. Please confirm that you accept the terms of use. Cancel Send ×Send article to Google Drive To send this article to your Google Drive account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about sending content to Google Drive. META-INDUCTION IN EPISTEMIC NETWORKS AND THE SOCIAL SPREAD OF KNOWLEDGEVolume 9, Issue 2Gerhard SchurzDOI: https://doi.org/10.1017/epi.2012.6Available formats PDF Please select a format to send. By using this service, you agree that you will only keep articles for personal use, and will not openly distribute them via Dropbox, Google Drive or other file sharing services. Please confirm that you accept the terms of use. Cancel Send ×Export citation Request permission. (shrink)

Legal text retrieval serves as a key component in a wide range of legal text processing tasks such as legal question answering, legal case entailment, and statute law retrieval. The performance of legal text retrieval depends, to a large extent, on the representation of text, both query and legal documents. Based on good representations, a legal text retrieval model can effectively match the query to its relevant documents. Because legal documents often contain long articles and only some parts are relevant (...) to queries, it is quite a challenge for existing models to represent such documents. In this paper, we study the use of attentive neural network-based text representation for statute law document retrieval. We propose a general approach using deep neural networks with attention mechanisms. Based on it, we develop two hierarchical architectures with sparse attention to represent long sentences and articles, and we name them Attentive CNN and Paraformer. The methods are evaluated on datasets of different sizes and characteristics in English, Japanese, and Vietnamese. Experimental results show that: (i) Attentive neural methods substantially outperform non-neural methods in terms of retrieval performance across datasets and languages; (ii) Pretrained transformer-based models achieve better accuracy on small datasets at the cost of high computational complexity while lighter weight Attentive CNN achieves better accuracy on large datasets; and (iii) Our proposed Paraformer outperforms state-of-the-art methods on COLIEE dataset, achieving the highest recall and F2 scores in the top-N retrieval task. (shrink)

The ability of the Society of Jesus to engage in a broad and enduring tradition of scientific activity is here addressed in terms of its programmatic commitment to the consolidation and extension of the Catholic confession and its mastery of the administrative apparatus necessary to operate long-distance networks. The Society's early move into two major apostolates, one in education and the other in the overseas missions, brought Jesuits into regular contact with the educated elites of Europe and at the (...) same time placed the Society's missionaries in remote parts of the natural world. The modes of organization of travel and communication required by the Society's long-distance networks not only facilitated scientific communication and collaboration within the order, it also provided Jesuits with the resources they needed to engage successfully in 'ministries among the learned'. Evidence of a sustained attempt by Jesuit authors to assume the role of Kulturträger is found in the several genres of scientific publications that dominate the Society's scientific corpus. Thus the Society's early recognition of the "apostolic value" of scientific publications in recruiting friends and allies among Europe's intellectual elites, I argue, allowed a robust interest in natural knowledge to emerge as a legitimate part of the Jesuit vocation. (shrink)

Social epistemologists should be well-equipped to explain and evaluate the growing vulnerabilities associated with filter bubbles, echo chambers, and group polarization in social media. However, almost all social epistemology has been built for social contexts that involve merely a speaker-hearer dyad. Filter bubbles, echo chambers, and group polarization all presuppose much larger and more complex network structures. In this paper, we lay the groundwork for a properly social epistemology that gives the role and structure of networks their due. In (...) particular, we formally define epistemic constructs that quantify the structural epistemic position of each node within an interconnected network. We argue for the epistemic value of a structure that we call the (m,k)-observer. We then present empirical evidence that (m,k)-observers are rare in social media discussions of controversial topics, which suggests that people suffer from serious problems of epistemic vulnerability. We conclude by arguing that social epistemologists and computer scientists should work together to develop minimal interventions that improve the structure of epistemic networks. (shrink)

Recent observations of power-law distributions in the connectivity of complex networks came as a big surprise to researchers steeped in the tradition of random networks. Even more surprising was the discovery that power-law distributions also characterize many biological and social networks. Many attributed a deep significance to this fact, inferring a “universal architecture” of complex systems. Closer examination, however, challenges the assumptions that (1) such distributions are special and (2) they signify a common architecture, independent of the (...) system's specifics. The real surprise, if any, is that power-law distributions are easy to generate, and by a variety of mechanisms. The architecture that results is not universal, but particular; it is determined by the actual constraints on the system in question. BioEssays 27:1060–1068, 2005. © 2005 Wiley Periodicals, Inc. (shrink)

Driven by privacy-related fears, users of Online Social Networks may start to reduce their network activities. This trend can have a negative impact on network sustainability and its business value. Nevertheless, very little is understood about the privacy-related concerns of users and the impact of those concerns on identity performance. To close this gap, we take a systematic view of user privacy concerns on such platforms. Based on insights from focus groups and an empirical study with 210 subjects, we (...) find that (i) Organizational Threats and (ii) Social Threats stemming from the user environment constitute two underlying dimensions of the construct Privacy Concerns in Online Social Networks . Using a Structural Equation Model, we examine the impact of the identified dimensions of concern on the Amount, Honesty, and Conscious Control of individual self-disclosure on these sites. We find that users tend to reduce the Amount of information disclosed as a response to their concerns regarding Organizational Threats. Additionally, users become more conscious about the information they reveal as a result of Social Threats. Network providers may want to develop specific mechanisms to alleviate identified user concerns and thereby ensure network sustainability. (shrink)

This essay considers the impact of digital networks in organizations on worker autonomy. Worker autonomy, the control that workers have over their own work situation, is claimed in this essay to be a key determinant for the quality of work, as well as an important moral goal. Digital networks pose significant threats to worker autonomy as well as opportunities for its enhancement. In this essay, the notion of worker autonomy is analyzed and evaluated for its importance and moral (...) relevance. It is then considered how digital networks both threaten worker autonomy and offer opportunities for its enhancement. Three major opportunities (enhanced communicative powers, increased informedness, teleworking) and threats (electronic monitoring, task prestructuring, and dependency creation) are discussed and analyzed. Finally, the dynamics that determine the impact on worker autonomy of the introduction of a digital network in organizations are investigated. A particular model for analyzing these dynamics and their impacts, Bryan Pfaffenberger's model of a technological drama. It will be illustrated how this model illuminates these dynamics by analyzing them as a dialectic of strategies of technological regularization by design constituencies and technological adjustment by impact constituencies. It will also be assessed what role network design has in this process. (shrink)

In a criminal trial, a judge or jury needs to reason about what happened based on the available evidence, often including statistical evidence. While a probabilistic approach is suitable for analysing the statistical evidence, a judge or jury may be more inclined to use a narrative or argumentative approach when considering the case as a whole. In this paper we propose a combination of two approaches, combining Bayesian networks with scenarios. Whereas a Bayesian network is a popular tool for (...) analysing parts of a case, constructing and understanding a network for an entire case is not straightforward. We propose an explanation method for understanding a Bayesian network in terms of scenarios. This method builds on a previously proposed construction method, which we slightly adapt with the use of scenario schemes for the purpose of explaining. The resulting structure is explained in terms of scenarios, scenario quality and evidential support. A probabilistic interpretation of scenario quality is provided using the concept of scenario schemes. Finally, the method is evaluated by means of a case study. (shrink)

Although connectionism is advocated by its proponents as an alternative to the classical computational theory of mind, doubts persist about its _computational_ credentials. Our aim is to dispel these doubts by explaining how connectionist networks compute. We first develop a generic account of computation—no easy task, because computation, like almost every other foundational concept in cognitive science, has resisted canonical definition. We opt for a characterisation that does justice to the explanatory role of computation in cognitive science. Next we (...) examine what might be regarded as the “conventional” account of connectionist computation. We show why this account is inadequate and hence fosters the suspicion that connectionist networks aren’t genuinely computational. Lastly, we turn to the principal task of the paper: the development of a more robust portrait of connectionist computation. The basis of this portrait is an explanation of the representational capacities of connection weights, supported by an analysis of the weight configurations of a series of simulated neural networks. (shrink)

Tackling grand challenges requires coordination and sustained effort among multiple organizations and stakeholders. Yet research on stakeholder theory has been conceptually constrained in capturing this complexity: existing accounts tend to focus either on dyadic level firm–stakeholder ties or on stakeholder networks within which the focal organization is embedded. We suggest that addressing grand challenges requires a more generative conceptualization of organizations and their constituents as stakeholder systems. Using the metaphor of ballet and insights from dance theory, we highlight four (...) defining dimensions of stakeholder systems (two structural and two dyadic); we proceed to offer a dynamic model of how those dimensions may interact and coevolve. Our metaphor and resulting theory of stakeholder systems are thereby well equipped to incorporate the complexity of tackling grand challenges, where many contemporary stakeholder arrangements are oriented around issues rather than firms. (shrink)