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Record W4399822455 · doi:10.1515/9782760540644

Désinstitutionnalisation psychiatrique en Acadie, en Ontario francophone et au Québec, 1930-2013

2014· book· fr· W4399822455 on OpenAlexaboutno aff
Marie-Claude Thifault, Henri Dorvil

Bibliographic record

VenuePresses de l'Université du Québec eBooks · 2014
Typebook
Languagefr
FieldHealth Professions
TopicMedical Research and Practices
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

L’isolement en asile, traitement grandement utilisé à la fin du xix e siècle pour guérir la folie, a été remis en question au fur et à mesure que le xx e siècle passait. La conception des réseaux de santé, le développement des disciplines psychiatrique et psychologique dans l’après-guerre, la découverte des neuroleptiques au début des années 1950 et les contrecoups de la Révolution tranquille, accompagnés d’un vent de décléricalisation, ont mené à une révolution psychiatrique : la désinstitutionnalisation. Cet ouvrage expose les tenants et les aboutissants d’une première vague de désinstitutionnalisation qui a marqué les années 1960 et 1970 en contexte canadien-français (Québec, Ontario et Nouveau-Brunswick). Proposant une étude sociohistorique et une analyse critique de cette période charnière en santé mentale, les auteurs évaluent les conséquences des transferts sur la vie des patients sortis des asiles ainsi que le rôle des intervenants en matière d’accompagnement. Ils soulèvent également des pistes d’intervention entourant les nouveaux enjeux de la prise en charge des personnes souffrant de maladie mentale. Alliant criminologie, histoire, sociologie, travail social et sciences infirmières, -l’ouvrage traite autant de politiques d’hygiène mentale, de contrôle social, de médicaments psychotropes que de marginalisation des malades mentaux. Il met au jour un vaste patrimoine matériel et immatériel de la santé mentale au Canada.

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)0.002
metaresearch head score (Gemma)0.004
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: Other · Consensus signal: none
Teacher disagreement score0.160
Threshold uncertainty score0.974

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.004
Science and technology studies0.0080.003
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.028
GPT teacher head0.303
Teacher spread0.275 · 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
Published2014
Admission routes1
Has abstractyes

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