MétaCan
Menu
Back to cohort
Record W2949281808 · doi:10.82308/49653

Judgements of responsibility and mind brain dualism in clinical psychiatry

2006· article· en· W2949281808 on OpenAlexaboutno aff
Marc Miresco

Bibliographic record

VenueeScholarship@McGill (McGill) · 2006
Typearticle
Languageen
FieldArts and Humanities
TopicMental Health and Psychiatry
Canadian institutionsnot available
Fundersnot available
KeywordsDualismPsychologyPerspective (graphical)NegotiationMental illnessPhenomenonPsychiatryPsychotherapistSocial psychologyEpistemologyMental healthSociologySocial science

Abstract

fetched live from OpenAlex

This thesis explores the phenomenon of mind-brain dualism in contemporary Western psychiatry from an anthropological and social psychological perspective. In a first chapter, it reports on an empirical study involving 127 staff psychiatrists and psychologists at McGill University who responded to a questionnaire based on clinical vignettes. Results revealed a latent process of judging patients' responsibility for illness, where the more a behavioural problem was seen as 'psychological,' the more the patients tended to be viewed as responsible and blameworthy for their symptoms, while behaviours with 'neurobiological' causes showed the opposite tendency. A second chapter reviews the history of psychosomatic medicine and argues that specific biomedical and psychological sick roles exist for patients that determine the ways in which their actions are judged, as well as how the functions of the rational mind are commonly understood. Insights from evolutionary psychology are used in a third chapter to speculate on new models of mental illness that may provide new contexts for negotiating mind-brain dualism and judgements of responsibility.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.021
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.021
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0030.022
Scholarly communication0.0040.002
Open science0.0000.004
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.038
GPT teacher head0.302
Teacher spread0.264 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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
Published2006
Admission routes1
Has abstractyes

Explore more

Same venueeScholarship@McGill (McGill)Same topicMental Health and PsychiatryFrench-language works237,207