Results for 'missing data handling'

980 found
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  1.  23
    Handling Missing Entries in Monitoring a Woman’s Monthly Cycle and Controlling Fertility.Anna Łupińska-Dubicka - 2018 - Studies in Logic, Grammar and Rhetoric 56 (1):75-90.
    Even a small percentage of missing data can cause serious problems with analysis, reducing the statistical power of a study and leading to wrong conclusions being drawn. In the case of monitoring a woman’s monthly cycle, missing entries can appear even in a woman experienced in fertility awareness methods. Due to the fact that in a system of controlling a woman’s fertility, it is the most important to predict the day of ovulation and, ultimately, to determine the (...)
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  2.  17
    Causal effect on a target population: A sensitivity analysis to handle missing covariates.Erwan Scornet, Gaël Varoquaux, Julie Josse & Bénédicte Colnet - 2022 - Journal of Causal Inference 10 (1):372-414.
    Randomized controlled trials are often considered the gold standard for estimating causal effect, but they may lack external validity when the population eligible to the RCT is substantially different from the target population. Having at hand a sample of the target population of interest allows us to generalize the causal effect. Identifying the treatment effect in the target population requires covariates to capture all treatment effect modifiers that are shifted between the two sets. Standard estimators then use either weighting, outcome (...)
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  3.  12
    Modified Weights-of-Evidence Modeling with Example of Missing Geochemical Data.Daojun Zhang & Frits Agterberg - 2018 - Complexity 2018:1-12.
    Weights of evidence and logistic regression are two loglinear methods for mineral potential mapping. Both models are limited by their respective basic assumptions in application. Ideally, WofE indicator patterns have the property of conditional independence with respect to the point pattern of mineral deposits to be predicted; in LR, there supposedly are no interactions between the point pattern and two or more of the indicator patterns. If the CI assumption is satisfied, estimated LR coefficients become approximately equal to WofE contrasts (...)
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  4.  27
    An Enhanced Machine Learning Framework for Type 2 Diabetes Classification Using Imbalanced Data with Missing Values.Kumarmangal Roy, Muneer Ahmad, Kinza Waqar, Kirthanaah Priyaah, Jamel Nebhen, Sultan S. Alshamrani, Muhammad Ahsan Raza & Ihsan Ali - 2021 - Complexity 2021:1-21.
    Diabetes is one of the most common metabolic diseases that cause high blood sugar. Early diagnosis of such a condition is challenging due to its complex interdependence on various factors. There is a need to develop critical decision support systems to assist medical practitioners in the diagnosis process. This research proposes developing a predictive model that can achieve a high classification accuracy of type 2 diabetes. The study consisted of two fundamental parts. Firstly, the study investigated handling missing (...)
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  5. Missing experimental challenges to the Standard Model of particle physics.Slobodan Perovic - 2011 - Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics 42 (1):32-42.
    The success of particle detection in high energy physics colliders critically depends on the criteria for selecting a small number of interactions from an overwhelming number that occur in the detector. It also depends on the selection of the exact data to be analyzed and the techniques of analysis. The introduction of automation into the detection process has traded the direct involvement of the physicist at each stage of selection and analysis for the efficient handling of vast amounts (...)
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  6.  40
    Missing data imputation over academic records of electrical engineering students.Esteban Jove, Patricia Blanco-Rodríguez, José-Luis Casteleiro-Roca, Héctor Quintián, Francisco Javier Moreno Arboleda, José Antonio LóPez-Vázquez, Benigno Antonio Rodríguez-Gómez, María Del Carmen Meizoso-López, Andrés Piñón-Pazos, Francisco Javier De Cos Juez, Sung-Bae Cho & José Luis Calvo-Rolle - 2020 - Logic Journal of the IGPL 28 (4):487-501.
    Nowadays, the quality standards of higher education institutions pay special attention to the performance and evaluation of the students. Then, having a complete academic record of each student, such as number of attempts, average grade and so on, plays a key role. In this context, the existence of missing data, which can happen for different reasons, leads to affect adversely interesting future analysis. Therefore, the use of imputation techniques is presented as a helpful tool to estimate the value (...)
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  7. Digital data handling speeds with pure fluid (pneumatic) circuits.Peter Bauer & Eric E. Metzger - 1965 - In Karl W. Linsenmann, Proceedings. St. Louis, Lutheran Academy for Scholarship. pp. 2--385.
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  8.  6
    On Modeling Missing Data of an Incomplete Design in the CFA Framework.Karl Schweizer, Andreas Gold, Dorothea Krampen & Tengfei Wang - 2020 - Frontiers in Psychology 11.
    The paper reports an investigation on whether valid results can be achieved in analyzing the structure of datasets although a large percentage of data is missing without replacement. Two types of confirmatory factor analysis models were employed for this purpose: the missing data CFA model with an additional latent variable for representing the missing data and the semi-hierarchical CFA model that also includes the additional latent variable and reflects the hierarchical structure assumed to underlie (...)
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  9.  24
    PELP: Accounting for Missing Data in Neural Time Series by Periodic Estimation of Lost Packets.Evan M. Dastin-van Rijn, Nicole R. Provenza, Gregory S. Vogt, Michelle Avendano-Ortega, Sameer A. Sheth, Wayne K. Goodman, Matthew T. Harrison & David A. Borton - 2022 - Frontiers in Human Neuroscience 16.
    Recent advances in wireless data transmission technology have the potential to revolutionize clinical neuroscience. Today sensing-capable electrical stimulators, known as “bidirectional devices”, are used to acquire chronic brain activity from humans in natural environments. However, with wireless transmission come potential failures in data transmission, and not all available devices correctly account for missing data or provide precise timing for when data losses occur. Our inability to precisely reconstruct time-domain neural signals makes it difficult to apply (...)
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  10.  46
    Treatment of missing data: Beyond ends and means. [REVIEW]Lucy Barnard & William Y. Lan - 2008 - Journal of Academic Ethics 6 (2):173-176.
    The ethical decision making process behind the treatment of missing data has yet to be examined in the research literature in any discipline. The purpose of the current paper is to begin to discuss this decision-making process in view of a Foucauldian framework. The paper suggests how the ethical treatment of missing data should be considered from the adoption of this theoretical framework.
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  11.  23
    Can IRT Solve the Missing Data Problem in Test Equating?Maria Bolsinova & Gunter Maris - 2015 - Frontiers in Psychology 6.
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  12.  13
    Estimating Average Treatment Effects Utilizing Fractional Imputation when Confounders are Subject to Missingness.Shu Yang & Nathan Corder - 2020 - Journal of Causal Inference 8 (1):249-271.
    The problem of missingness in observational data is ubiquitous. When the confounders are missing at random, multiple imputation is commonly used; however, the method requires congeniality conditions for valid inferences, which may not be satisfied when estimating average causal treatment effects. Alternatively, fractional imputation, proposed by Kim 2011, has been implemented to handling missing values in regression context. In this article, we develop fractional imputation methods for estimating the average treatment effects with confounders missing at (...)
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  13.  13
    Squeaky wheels: Missing data, disability, and power in the smart city.Arielle Alferez, Amy Lobben & Shiloh Deitz - 2021 - Big Data and Society 8 (2).
    Data about the accessibility of United States municipalities is infrastructure in the smart city. What is counted and how, reflects the sociotechnical imaginary of a time or place. In this paper we focus on features identified by people with disabilities as promoting or hindering safe pedestrian travel. We use a regionally stratified sample of 178 cities across the United States. The municipalities were scored on two factors: their open data practices, and the degree to which they cataloged the (...)
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  14.  37
    The Responsibility of Estimating Missing Data.María P. Fernández-García, Guillermo Vallejo-Seco, Pablo Livácic-Rojas & Ellian Tuero-Herrero - 2018 - Frontiers in Psychology 9.
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  15.  24
    Parental sex preferences: The missing data.Mark S. Frankel - 1974 - Hastings Center Report 4 (3):4-4.
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  16.  54
    Knowledge and practice of confidential data handling in the Welsh Deanery: a brief report.L. E. Jackson & M. W. Lim - 2011 - Journal of Medical Ethics 37 (1):58-60.
    Recent large-scale personal data loss incidents highlighted the need for public bodies to more securely handle confidential data. We surveyed trainees from all specialties in the Welsh Deanery for their knowledge and practice. All registered trainees were invited to participate in an online anonymised survey. There were 880 completed and non-duplicated responses (52.9% response rate). Responses were analysed using Microsoft Access. Over 40% (388/880 (44.1%)) did not use formal guidelines on storage or disposal of confidential data. The (...)
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  17.  24
    A qualitative interview study of Australian physicians on defensive practice and low value care: “it’s easier to talk about our fear of lawyers than to talk about our fear of looking bad in front of each other”.Jesse Jansen, Briony Johnston & Nola M. Ries - 2022 - BMC Medical Ethics 23 (1):1-14.
    BackgroundDefensive practice occurs when physicians provide services, such as tests, treatments and referrals, mainly to reduce their perceived legal or reputational risks, rather than to advance patient care. This behaviour is counter to physicians’ ethical responsibilities, yet is widely reported in surveys of doctors in various countries. There is a lack of qualitative research on the drivers of defensive practice, which is needed to inform strategies to prevent this ethically problematic behaviour.MethodsA qualitative interview study investigated the views and experiences of (...)
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  18.  14
    Cognitive Diagnosis Modeling Incorporating Item-Level Missing Data Mechanism.Na Shan & Xiaofei Wang - 2020 - Frontiers in Psychology 11.
    The aim of cognitive diagnosis is to classify respondents' mastery status of latent attributes from their responses on multiple items. Since respondents may answer some but not all items, item-level missing data often occur. Even if the primary interest is to provide diagnostic classification of respondents, misspecification of missing data mechanism may lead to biased conclusions. This paper proposes a joint cognitive diagnosis modeling of item responses and item-level missing data mechanism. A Bayesian Markov (...)
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  19.  59
    Ethical challenges in child and adolescent forensic psychiatry. Observational study and screening instrument.Jan Schürmann, Mara Mühleck, Christian Perler, Klaus Schmeck & Stella Reiter-Theil - 2021 - Ethik in der Medizin 33 (1):31-49.
    Background and aim Child and adolescent forensic psychiatry is fraught with complex medical, legal, and social tensions. The ethical challenges this entails for inhospital treatment have hardly been investigated, and specific support for health care professionals is lacking. This study identifies ethical issues and problems in this area and develops a tool for early detection and intervention of ethical problems in clinical practice. Methods A systematic literature search and an observational study in adolescent forensics at the University Psychiatric Clinics Basel (...)
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  20.  16
    Developing Surveys on Questionable Research Practices: Four Challenging Design Problems.Christian Berggren, Bengt Gerdin & Solmaz Filiz Karabag - forthcoming - Journal of Academic Ethics:1-22.
    The exposure of scientific scandals and the increase of dubious research practices have generated a stream of studies on Questionable Research Practices (QRPs), such as failure to acknowledge co-authors, selective presentation of findings, or removal of data not supporting desired outcomes. In contrast to high-profile fraud cases, QRPs can be investigated using quantitative, survey-based methods. However, several design issues remain to be solved. This paper starts with a review of four problems in the QRP research: the problem of precision (...)
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  21. THIS IS NICE OF YOU. Introduction by Ben Segal.Gary Lutz - 2011 - Continent 1 (1):43-51.
    Reproduced with the kind permission of the author. Currently available in the collection I Looked Alive . © 2010 The Brooklyn Rail/Black Square Editions | ISBN 978-1934029-07-7 Originally published 2003 Four Walls Eight Windows. continent. 1.1 (2011): 43-51. Introduction Ben Segal What interests me is instigated language, language dishabituated from its ordinary doings, language startled by itself. I don't know where that sort of interest locates me, or leaves me, but a lot of the books I see in the stores (...)
     
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  22. Editorial Introduction: Indigenous Philosophies of Consciousness.Radek Trnka & Radmila Lorencova - 2023 - Journal of Consciousness Studies 30 (5):99-102.
    Indigenous understandings of consciousness represent an important inspiration for scientific discussions about the nature of consciousness. Despite the fact that Indigenous concepts are not outputs of a research driven by rigorous, scientific methods, they are of high significance, because they have been formed by hundreds of years of specific routes of cultural evolution. The evolution of Indigenous cultures proceeded in their native habitat. The meanings that emerged in this process represent adaptive solutions that were optimal in the given environmental and (...)
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  23.  39
    Normal Theory GLS Estimator for Missing Data: An Application to Item-Level Missing Data and a Comparison to Two-Stage ML.Victoria Savalei & Mijke Rhemtulla - 2017 - Frontiers in Psychology 8.
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  24. Other issues in statistics I (missing data, intention-to-treat analysis and covariate adjustment).Tamara Jorquiera & Hang Lee - 2018 - In Felipe Fregni & Ben M. W. Illigens, Critical thinking in clinical research: applied theory and practice using case studies. New York, NY: Oxford University Press.
     
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  25. Failures and setbacks : contaminated cell cultures, missing data and rejected manuscripts.Roope Kallionpää - 2018 - In Christopher McMaster, Caterina Murphy & Jakob Rosenkrantz de Lasson, The Nordic PhD: surviving and succeeding. New York: Peter Lang.
     
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  26.  9
    Handling Sign Language Data: The Impact of Modality.Josep Quer & Markus Steinbach - 2019 - Frontiers in Psychology 10:394645.
    Natural languages come in two different modalities. The impact of modality on the grammatical structure and linguistic theory has been discussed at great length in the last 20 years. By contrast, the impact of modality on linguistic data elicitation and collection, corpus studies and experimental (psycholinguistic) studies is still underinvestigated (van Herreweghe/Vermeerbergen 2012; Orfanidou et al. 2015). In this paper, we address specific challenges that arise in judgement data elicitation and experimental studies of sign languages. These challenges are (...)
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  27.  26
    Handling Anomalous Data in the Lab: Students’ Perspectives on Deleting and Discarding.Mikkel Willum Johansen & Frederik Voetmann Christiansen - 2020 - Science and Engineering Ethics 26 (2):1107-1128.
    This paper presents and discusses empirical results from a survey about the research practice of Danish chemistry students, with a main focus on the question of anomalous data. It seeks to investigate how such data is handled by students, with special attention to so-called ‘questionable research practices’ where anomalous data are simply deleted or discarded. This question of QRPs is of particular importance as the educational practices students experience may influence how they act in their future professional (...)
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  28. The missing piece of the puzzle: the discovery of the Higgs boson.Allan Franklin - 2017 - Synthese 194 (2):259-274.
    The missing piece of the puzzle: the discovery of the Higgs boson On July 4, 2012 the CMS and ATLAS collaborations at the large hadron collider jointly announced the discovery of a new elementary particle, which resembled the Higgs boson, the last remaining undiscovered piece of the standard model of elementary particles. Both groups claimed to have observed a five-standard-deviation effect above background, the gold standard for discovery in high-energy physics. In this essay I will briefly discuss the how (...)
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  29.  31
    Handling Imbalance Classification Virtual Screening Big Data Using Machine Learning Algorithms.Sahar K. Hussin, Salah M. Abdelmageid, Adel Alkhalil, Yasser M. Omar, Mahmoud I. Marie & Rabie A. Ramadan - 2021 - Complexity 2021:1-15.
    Virtual screening is the most critical process in drug discovery, and it relies on machine learning to facilitate the screening process. It enables the discovery of molecules that bind to a specific protein to form a drug. Despite its benefits, virtual screening generates enormous data and suffers from drawbacks such as high dimensions and imbalance. This paper tackles data imbalance and aims to improve virtual screening accuracy, especially for a minority dataset. For a dataset identified without considering the (...)
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  30.  13
    Digital government and the handling of sensitive data in the execution of public policies: challenges and possibilities.Júlia Oselame Graf & Caroline Muller Bitencourt - 2024 - Araucaria 26 (56).
    The research aims to investigate the characteristics and risks associated with the handling of sensitive data in the implementation of public policies within the digital government model. To achieve this, a hypothetical-deductive method and bibliographic and documentary procedures are employed, proposing an interdisciplinary discussion on technological advancement, data protection, transparency, and public policies. The justification revolves around the importance of a comprehensive, cohesive system that genuinely protects sensitive personal data, considering the need to keep pace with (...)
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  31. Ihde’s Missing Sciences: Postphenomenology, Big Data, and the Human Sciences.Daniel Susser - 2016 - Techné: Research in Philosophy and Technology 20 (2):137-152.
    In Husserl’s Missing Technologies, Don Ihde urges us to think deeply and critically about the ways in which the technologies utilized in contemporary science structure the way we perceive and understand the natural world. In this paper, I argue that we ought to extend Ihde’s analysis to consider how such technologies are changing the way we perceive and understand ourselves too. For it is not only the natural or “hard” sciences which are turning to advanced technologies for help in (...)
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  32.  13
    Data is the new oil”: citizen science and informed consent in an era of researchers handling of an economically valuable resource.Gerardine Doyle, Katie Kirkwood, Eamonn Ambrose, Aileen K. Ho, David M. Doyle, Ingrid Holme & Etain Quigley - 2021 - Life Sciences, Society and Policy 17 (1):1-13.
    As with other areas of the social world, academic research in the contemporary healthcare setting has undergone adaptation and change. For example, research methods are increasingly incorporating citizen participation in the research process, and there has been an increase in collaborative research that brings academic and industry partners together. There have been numerous positive outcomes associated with both of these growing methodological and collaborative processes; nonetheless, both bring with them ethical considerations that require careful thought and attention. This paper addresses (...)
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  33.  47
    Source Data Verification in Clinical Trials Involving the Temporarily Incapacitated Subject: Is There a Missing Link in the Notion of Proxy Consent?John R. Wilson - 1992 - IRB: Ethics & Human Research 14 (4):8.
  34.  28
    User Knowledge, Data Modelling, and Visualization: Handling through the Fuzzy Logic-Based Approach.Xiaoqun Liao, Shah Nazir, Yangbin Zhou, Muhammad Shafiq & Xuelin Qi - 2021 - Complexity 2021:1-14.
    In modern day technology, the level of knowledge is increasing day by day. This increase is in terms of volume, velocity, and variety. Understanding of such knowledge is a dire need of an individual to extract meaningful insight from it. With the advancement in computer and image-based technologies, visualization becomes one of the most significant platforms to extract, interpret, and communicate information. In data modelling, visualization is the process of extracting knowledge to reveal the detail data structure and (...)
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  35.  20
    Serpent Handling: Toward a Cognitive Account – Honoring the Scholarship of Ralph W. Hood Jr.Thomas J. Coleman, Christopher F. Silver & Jonathan Jong - 2021 - Journal of Cognition and Culture 21 (5):414-430.
    The ritual handling of serpents remains an unnoticed cultural form for the explanatory aims and theoretical insights desired by cognitive scientists of religion. In the current article, we introduce the Hood and Williams archives at The University of Tennessee at Chattanooga that contains data culled from Hood’s 40-plus year career of studying serpent handlers. The archives contain hundreds of hours of interviews and recordings of speaking in tongues, handling fire, drinking poison, and taking up serpents by different (...)
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  36.  29
    Ethical climate and missed nursing care in cancer care units.Stavros Vryonides, Evridiki Papastavrou, Andreas Charalambous, Panayiota Andreou, Christos Eleftheriou & Anastasios Merkouris - 2018 - Nursing Ethics 25 (6):707-723.
    Background: Previous research has linked missed nursing care to nurses’ work environment. Ethical climate is a part of work environment, but the relationship of missed care to different types of ethical climate is unknown. Research objectives: To describe the types of ethical climate in adult in-patient cancer care settings, and their relationship to missed nursing care. Research design: A descriptive correlation design was used. Data were collected using the Ethical Climate Questionnaire and the MISSCARE survey tool, and analyzed with (...)
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  37.  22
    Indexing, enriching, and understanding Brazilian missing person cases from data of distributed repositories on the web.Jorão Gomes, Heder Soares Bernardino, Jairo Francisco de Souza & Enayat Rajabi - 2023 - AI and Society 38 (2):565-579.
    For decision making in government, it is necessary to have well-structured sources of information. In several countries, it is difficult to access government data as the information are dispersed, disconnected, and poorly structured. For this reason, this work presents a framework to gather, unify, and enrich missing person data from distributed web sources. The framework allows inserting new tasks specific to the user’s domain to improve data quality. In this study, Brazilian missing person data (...)
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  38.  75
    Missing the Party: Political Categorization and Reasoning in the Absence of Party Label Cues.Evan Heit & Stephen P. Nicholson - 2016 - Topics in Cognitive Science 8 (3):697-714.
    Using national opinion survey data, this research addressed claims in political science that the American electorate is either poorly informed or dependent on party label cues. The results suggested that in situations with missing information, American voters can use their knowledge to successfully infer political party membership of candidates and vote their own party interests.
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  39.  21
    Bayesian Approach with Pre- and Post-Filtering to Handle Data Uncertainty and Inconsistency in Mobile Robot Local Positioning.Alaa Khamis & Waleed A. Abdulhafiz - 2014 - Journal of Intelligent Systems 23 (2):133-154.
    One of the important issues in mobile robots is finding the position of robots in space. This is normally achieved by using a sensor to locate the position of the robot. However, relying on more than one sensor and then using multisenor data fusion algorithms tends to be more reliable than just using a reading from a single sensor. If these sensors provide inconsistent data, catastrophic fusion may occur, and thus the estimated position of the robot obtained will (...)
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  40.  25
    Bayesian sensitivity models for missing covariates in the analysis of survival data.Karla Hemming & Jane Luise Hutton - 2012 - Journal of Evaluation in Clinical Practice 18 (2):238-246.
  41.  26
    How to Handle Armed Conflict Data in a Real-World Scenario?Anusua Trivedi, Kate Keator, Michael Scholtens, Brandon Haigood, Rahul Dodhia, Juan Lavista Ferres, Ria Sankar & Avirishu Verma - 2020 - Philosophy and Technology 34 (1):111-123.
    Conflict resolution practitioners consistently struggle with access to structured armed conflict data, a dataset already rife with uncertainty, inconsistency, and politicization. Due to the lack of a standardized approach to collating conflict data, publicly available armed conflict datasets often require manipulation depending upon the needs of end users. Transformation of armed conflict data tends to be a manual, time-consuming task that nonprofits with limited budgets struggle to keep up with. In this paper, we explore the use of (...)
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  42.  28
    Neural Models for Imputation of Missing Ozone Data in Air-Quality Datasets.Ángel Arroyo, Álvaro Herrero, Verónica Tricio, Emilio Corchado & Michał Woźniak - 2018 - Complexity 2018:1-14.
    Ozone is one of the pollutants with most negative effects on human health and in general on the biosphere. Many data-acquisition networks collect data about ozone values in both urban and background areas. Usually, these data are incomplete or corrupt and the imputation of the missing values is a priority in order to obtain complete datasets, solving the uncertainty and vagueness of existing problems to manage complexity. In the present paper, multiple-regression techniques and Artificial Neural Network (...)
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  43.  27
    Missing Analyst Forecasts and Corporate Fraud: Evidence from China.Liuyang Ren, Xi Zhong & Liangyong Wan - 2022 - Journal of Business Ethics 181 (1):171-194.
    The relationship between analysts' forecasts and corporate fraud is a vital theoretical and practical question that needs to be clarified. Based on a strict distinction between negative performance gaps relative to analyst forecasts (negative forecast gaps hereinafter) and analyst coverage, this study investigates the influence of analyst forecasts on corporate fraud from a panoramic perspective. Using panel data on listed companies in China from 2008 to 2019, we find that short-term performance pressure caused by negative forecast gaps is significantly (...)
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  44. Handling ethical, legal and social issues in birth cohort studies involving genetic research: responses from studies in six countries.Nola M. Ries, Jane LeGrandeur & Timothy Caulfield - 2010 - BMC Medical Ethics 11 (1):4.
    Research involving minors has been the subject of much ethical debate. The growing number of longitudinal, pediatric studies that involve genetic research present even more complex challenges to ensure appropriate protection of children and families as research participants. Long-term studies with a genetic component involve collection, retention and use of biological samples and personal information over many years. Cohort studies may be established to study specific conditions (e.g. autism, asthma) or may have a broad aim to research a range of (...)
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  45.  30
    Missed nursing care and its relationship with perceived ethical leadership.Gülşah Gürol Arslan, Dilek Özden, Gizem Göktuna & Büşra Ertuğrul - 2022 - Nursing Ethics 29 (1):35-48.
    Background: Determination of the factors affecting missed nursing care and the impact of ethical leadership is important in improving the quality of care. Aim: This study aims to determine the missed nursing care and its relationship with perceived ethical leadership. Research design: A cross-sectional study. Participants and research context: The sample consisted of 233 nurses, of whom 92.7% were staff nurses and 7.3% were charge nurses, who work in three different hospitals in Turkey. The study data were collected using (...)
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  46.  9
    Missing Persons: A Critique of the Social Sciences.Mary Douglas & Steven Ney - 1998 - Univ of California Press.
    The Western cultural consensus based on the ideas of free markets and individualism has led many social scientists to consider poverty as a personal experience, a deprivation of material things, and a failure of just distribution. Mary Douglas and Steven Ney find this dominant tradition of social thought about poverty and well-being to be full of contradictions. They argue that the root cause is the impoverished idea of the human person inherited through two centuries of intellectual history, and that two (...)
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  47.  26
    I beg to differ: how disagreement is handled in the annotation of legal machine learning data sets.Daniel Braun - 2024 - Artificial Intelligence and Law 32 (3):839-862.
    Legal documents, like contracts or laws, are subject to interpretation. Different people can have different interpretations of the very same document. Large parts of judicial branches all over the world are concerned with settling disagreements that arise, in part, from these different interpretations. In this context, it only seems natural that during the annotation of legal machine learning data sets, disagreement, how to report it, and how to handle it should play an important role. This article presents an analysis (...)
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  48.  41
    Complexity Problems Handled by Big Data Technology.Zhihan Lv, Kaoru Ota, Jaime Lloret, Wei Xiang & Paolo Bellavista - 2019 - Complexity 2019:1-7.
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  49.  29
    Strategies for handling ethical problems in end of life care: obstacles and possibilities.Åsa Rejnö & Linda Berg - 2015 - Nursing Ethics 22 (7):778-789.
    Background: In end of life care, ethical problems often come to the fore. Little research is performed on ways or strategies for handling those problems and even less on obstacles to and possibilities of using such strategies. A previous study illuminated stroke team members’ experiences of ethical problems and how the teams managed the situation when caring for patients faced with sudden and unexpected death from stroke. These findings have been further explored in this study. Objective: The aim of (...)
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  50.  12
    Missing heritability: Illegitimate quantitative comparison of holistic and reductionist data (response to DOI 10.1002/bies.201600084). [REVIEW]Eugene Sverdlov - 2016 - Bioessays 38 (12):1195-1196.
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