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Record W4303431067 · doi:10.7202/1091461ar

Entretien avec Ansgar Rougemont-Bücking

2022· article· fr· W4303431067 on OpenAlexaffvenue
Simon Lévesque

Bibliographic record

VenueCygne noir · 2022
Typearticle
Languagefr
FieldPsychology
TopicPsychoanalysis and Psychopathology Research
Canadian institutionsUniversité de MontréalUniversité LavalUniversité du Québec à Montréal
Fundersnot available
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Dans cet entretien réalisé par Simon Levesque pour le compte du Cygne noir, Ansgar Rougemont-Bücking discute de sa pratique psychiatrique et psychothérapeutique, qui passe par l’administration de substances psychédéliques (kétamine, MDMA, LSD et psilocybine) à ses patient·e·s. Cette pratique médicale prend place dans le cadre de son cabinet privé, à Vevey en Suisse. Le docteur Rougemont-Bücking se montre très sensible aux questions environnementales et prône une cultivation de notre conscience capable, selon lui, de mener à un changement de paradigme profond dans notre façon de penser et d’agir en société. Le monde du travail moderne, en particulier, lui apparaît porter les marques d’un état psychique collectif délétère, qui ressortit à l’autodestruction. L’entretien est aussi l’occasion d’échanger sur une autre passion qui anime le privat-docent de médecine à l’Université de Fribourg et chef de clinique scientifique au Réseau fribourgeois de santé mentale : l’alpinisme.

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)0.004
metaresearch head score (Gemma)0.011
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: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.030
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.011
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0050.007
Scholarly communication0.0050.005
Open science0.0010.003
Research integrity0.0040.014
Insufficient payload (model declined to judge)0.0090.003

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 head0.032
GPT teacher head0.354
Teacher spread0.322 · 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
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

Citations1
Published2022
Admission routes2
Has abstractyes

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