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Record W1581297920 · doi:10.7202/001138ar

Les « nouveaux » médicaments de l’esprit, marche avant vers le passé?

2002· article· fr· W1581297920 on OpenAlexvenueno aff
David Cohen

Bibliographic record

VenueSociologie et sociétés · 2002
Typearticle
Languagefr
FieldMedicine
TopicHistorical and Scientific Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPhilosophyHumanities

Abstract

fetched live from OpenAlex

Depuis l'arrivée des nouveaux antidépresseurs, la possibilité d'une " psychopharmacologie cosmétique " est fréquemment évoquée et soulève plusieurs questions morales. Cet article esquisse un bilan critique de changements engendrés depuis cinquante ans par les médicaments psychotropes : la domestication de la folie via le contrôle à distance du fou, la pseudo-biologisation de la pensée et de la pratique psychiatriques et l'augmentation phénoménale des indications pour la prise régulière de psychotropes via la multiplication des catégories diagnostiques et leur compartimentation. Les récits personnels de guérison chimique se substituent aux évaluations d'efficacité thérapeutique, laquelle pâlit néanmoins en comparaison de l'insaisissable effet placebo. Dans un contexte d'augmentation de la détresse psychologique, le médicament psychotrope servirait de carburant à une entreprise de nivellement moral où l'égalité réside dans la pathologie et dans son traitement.

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)0.003
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.998
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.008
Scholarly communication0.0040.004
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0060.001

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 head0.449
GPT teacher head0.464
Teacher spread0.015 · 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.

Study designQualitative
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

Citations5
Published2002
Admission routes1
Has abstractyes

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