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Record W7140067391

Malingering and Illness Deception

2003· book· en· W7140067391 on OpenAlexaboutno aff

Bibliographic record

VenueRePEc: Research Papers in Economics · 2003
Typebook
Languageen
FieldNeuroscience
TopicFree Will and Agency
Canadian institutionsnot available
Fundersnot available
KeywordsMalingeringDeceptionAttributionForensic psychologyHealth careSubject (documents)
DOInot available

Abstract

fetched live from OpenAlex

Despite a rich and turbulent history spanning several centuries, malingering continues to be a controversial and neglected clinical condition that has significant implications for medical, social, legal and insurance interests. Estimates of malingering - the wilful, intentional attempt to simulate or exaggerate illness in the pursuit of a consciously desired end - vary greatly, despite the fact that malingering is believed to contribute substantially to fraudulent health care and social welfare costs. There is little consensus about what would constitute a coherent assessment of malingering, and base rates have been difficult to establish. Malingering remains a difficult attribution to make not least since it falls outside the remit of the formal psychiatric classifications. Labelling a person as a malingerer however, has significant medico-legal, personal and economic ramifications for both subject and accuser. Viewed in this way, malingering is not so much illness behaviour in search of a disease, as the manifestation of a conflict between personal and social values. The aim of this book is to effect an integration of the different medical, forensic, neuropsychological, legal and social perspectives. The book provides an overview of progress in disparate fields relevant to the subject, including how recent social and neuroscience findings regarding volition, intentional states and theory of mind may have implications for informing detection, management and ultimately its explanation. Contributors to this volume - Prof Mansel Aylward, Office of the Chief Medical Advisor, Dept of Works & Pensions, London, UK Dr Charles Baron, Occupational Health and Safety Unit, Flintshire County Council, Mold, UK Dr Christopher Bass, Dept of Psychological Medicine, John Radcliffe Hospital, Oxford, UK Prof Richard Byrne, School of Psychology, University of St Andrews, Fife, UK Prof Kenneth Craig, Dept of Psychology, University of British Columbia, Vancouver, Canada Prof David Faust, Dept of Psychology, Brown University, Kingston RI, USA Prof Richard Frackowiak, Wellcome Dept of Cognitive Neurology, Institute of Neurology, London, UK Dr Richard Frederick, Dept of Psychology, US Medical Center for Federal Prisoners, Missouri, USA Prof Peter Halligan, School of Psychology, University of Cardiff, Cardiff, UK Dr Marilyn Hill, University of Western Ontario, Ontario, Canada Prof Michael Jones, School of Law, University of Liverpool, Liverpool, UK Mr Richard Kitchen, Benefits Agency Chief Investigator, Birmingham, UK Dr Judith Libow, Dept of Psychiatry, Children's Hospital Oakland, Oakland CA, USA Dr John Locascio, Vice President, UnumProvident Insurance Company, Portland ME, USA Prof Christopher Main, Dept of Behavioural Medicine, University of Manchester, Salford, UK Prof Bertram Malle, Dept of Psychology, University of Oregon, Eugene OR, USA Ms Samantha Mann, Dept of Psychology, University of Portsmouth, Portsmouth, UK Dr George Mendelson, Dept of Psychological Medicine, Monash University, Victoria, Australia Dr Craig S Neumann, University of North Texas, Denton TX, USA Dr David Oakley, Dept of Psychology, University College London, UK Prof Ian Palmer, Royal Defence Medical College, Gosport, UK Dr Loren Pankratz, Consultant Psychologist, Portland OR, USA Dr Jon Poole, Health Centre, Cross Street, Dudley, UK Dr Lindsay Prior, School of Social Sciences, University of Cardiff, Cardiff, UK Prof Adrian Raine, Dept of Psychology, University of Southern California, Los Angeles CA, USA Prof Peter Robinson, Dept of Experimental Psychology, University of Bristol, Bristol, UK Prof Richard Rogers, University of North Texas, Denton TX, USA Dr Michael Sharpe, Dept of Psychiatry, University of Edinburgh, Edinburgh, UK Dr Sean Spence, Dept of Psychiatry, University of Sheffield, Sheffield, UK Mr Alan Sprince, Cayman Islands School of Law, Grand Cayman, British West Indies Ms Emma Stokes, School of Psychology, University of St Andrews, Fife, UK Prof Aldert Vrij, Dept of Psychology, University of Portsmouth, Portsmouth, UK Dr Nick Ward, Wellcome Dept of Imaging Neuroscience, Institute of Neurology, London, UK Prof Simon Wessely, Dept of Psychological Medicine, GKT School of Medicine, Denmark Hill, London, UK Dr Fiona Wood, School of Social Sciences, University of Cardiff, Cardiff, UK Dr Matthew Wynia, The Institute for Ethics, Chicago IL, USA

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.981
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.040
GPT teacher head0.293
Teacher spread0.253 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2003
Admission routes1
Has abstractyes

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