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Record W4391298347 · doi:10.1684/ipe.2023.2657

Tâtonnements psychédéliques : l’exploration éphémère de la mescaline, du LSD et de la psilocybine par la médecine française au XXe siècle

2023· article· fr· W4391298347 on OpenAlexaff
Zoë Dubus, Élise Grandgeorge, Vincent Verroust

Bibliographic record

VenueHAL (Le Centre pour la Communication Scientifique Directe) · 2023
Typearticle
Languagefr
FieldPsychology
TopicAcademic and Historical Perspectives in Psychology
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsMescalineHumanitiesArtPhilosophyPsychologyHallucinogen

Abstract

fetched live from OpenAlex

French doctors took part in the first wave of research into psychedelics, blazing the trail for studies on psilocybin in particular. From the 1930s onwards, the Sainte-Anne school was at the forefront of these experiments, rooting them in a biological conception of therapeutics emphasizing the concept of shock. While internationally, new methods were developed in the 1950s to ensure the physical and psychological well-being of patients under the influence of these products, French therapists maintained their own techniques. Under these conditions, they were unable to replicate the positive results achieved by their foreign counterparts. This article analyzes this history and helps to explain the current reticence of French healthcare professionals who, even as the “psychedelic renaissance”, is in full swing, remain strongly influenced by very negative representations stemming from these early experiments.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.033
Threshold uncertainty score0.066

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.011
Scholarly communication0.0030.002
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.017
GPT teacher head0.327
Teacher spread0.309 · 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 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

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

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