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Record W7067008481

La danse autour du fou Nouvelle édition

2020· other· fr· W7067008481 on OpenAlexaboutno aff

Bibliographic record

VenueR-libre (Université Téluq) · 2020
Typeother
Languagefr
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsCompassionPrisonObject (grammar)
DOInot available

Abstract

fetched live from OpenAlex

La danse autour du fou est un survol de l’histoire organisationnelle de la prise en charge de la folie au Québec. Pourquoi le mot \nfou? Parce que les univers conceptuels qui ont succédé à celui du mot folie, employé au début de la colonie, ont effectué des catégorisations plus ou moins compatibles en matière de comportement déviant stigmatisé par la société : aliénation, maladie mentale, syndrome, structure clinique, troubles psychiques, problèmes de santé mentale, problèmes de détresse psychosociale, problèmes de performance de rôles sociaux, etc. À chaque catégorisation correspond une solution de l’époque : la prison ou l’exorcisme, les loges et l’asile, l’hôpital psychiatrique, les centres communautaires de santé mentale, les CLSC, les nouvelles structures de la réforme Barrette. \nChaque solution oscille entre, d’une part, l’écoute et la compassion et, d’autre part, la mise à l’écart et l’oubli. Souvent, on peut y voir une folle agitation en vue de contrôler le fou étourdi, médusé, et peut-être amusé d’assister à cette mise en scène sociale, telle une danse autour de lui, en habits d’époque et en costumes du pays.

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)0.005
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: Other
Teacher disagreement score0.586
Threshold uncertainty score0.833

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0070.005
Scholarly communication0.0070.003
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0830.015

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 head0.006
GPT teacher head0.182
Teacher spread0.176 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

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