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Record W4378965777 · doi:10.3138/cjhh.593-062022

De l’automédication au monopole de la prescription d’antalgiques : processus de confiscation d’un savoir profane en France

2023· article· fr· W4378965777 on OpenAlexvenueno aff
Zoë Dubus

Bibliographic record

VenueCanadian Journal of Health History · 2023
Typearticle
Languagefr
FieldPsychology
TopicPsychedelics and Drug Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceConfiscationHumanitiesArtLaw

Abstract

fetched live from OpenAlex

Résumé. Au XIXesiècle, alors que la pharmacopée s’enrichit d’un nombre considérable de psychotropes, la plupart ayant des propriétés antalgiques, l’automédication est la norme. Les individus de l’époque disposent en effet de connaissances traditionnelles sur les substances disponibles, actualisées pour les médicaments nouveaux grâce à de nombreux contenus de vulgarisation médicale. Les médecins et pharmaciens participent à cet accroissement de la médicalisation qui favorise leur installation en tant que professionnels reconnus. Mais à mesure que leur statut s’institutionnalise, le corps médical officiel œuvre à interdire toute pratique de soins en dehors de son contrôle, qu’il s’agisse du recours aux thérapeutes traditionnels (guérisseuses et guérisseurs, rebouteuses·et rebouteux, herboristes, etc.) ou de l’automédication. Nous analyserons dans cet article les pratiques médicales des individus du XIXesiècle en lien avec les psychotropes et montrerons les conséquences sanitaires de la confiscation des savoirs profanes sur ces substances.

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)0.008
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.997
Threshold uncertainty score0.122

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.033
GPT teacher head0.331
Teacher spread0.298 · 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 designNot applicable
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

Citations1
Published2023
Admission routes1
Has abstractyes

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Same venueCanadian Journal of Health HistorySame topicPsychedelics and Drug StudiesFrench-language works237,207