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Record W3003864074 · doi:10.3917/rsi.139.0099

Les infirmières psychiatriques témoins d’un mouvement d’humanisation au cours des premières et deuxièmes vagues de la désinstitutionnalisation au Québec (1960-1990)

2020· article· fr· W3003864074 on OpenAlexaffabout
Marie-Claude Thifault, Laurie Kirouac

Bibliographic record

VenueRecherche en soins infirmiers · 2020
Typearticle
Languagefr
FieldPsychology
TopicHistorical Psychiatry and Medical Practices
Canadian institutionsMinistère de l’Emploi et de la Solidarité Sociale (Québec)Université du Québec à MontréalUniversity of Ottawa
Fundersnot available
KeywordsHumanitiesPhysicsPhilosophy

Abstract

fetched live from OpenAlex

Introduction : This study examines the humanization movement at the Saint-Jean-de-Dieu psychiatric hospital between the 1960s and the 1990s.Context : Conducting a historiography of psychiatric deinstitutionalization in Quebec during the twentieth century shows that the institution was a place of social control and, above all else, a place where psychiatric patients were neglected and dehumanized.Objective : While the historiography since the 1960s has focused on a largely one-dimensional and critical reading of the way in which deinstitutionalization took place in Quebec, I have instead chosen to focus on the changes that took place within the Quebec hospital's walls.Method : In addition to the medical records of the patients who were interned in 1961, I conducted interviews to examine the experiences and emotions of nurses who worked in the psychiatric hospital between the 1960s and 1990s.Results : The examination of medical records revealed patients' reluctance and resistance to reintegrate into society. The interviews with nurses revealed that they often felt close to their patients.Discussion : The words and memories of nurses enrich and deepen the complexity of the history of psychiatric nursing practices, extend the existing historiography, and open new avenues for research in the field.Conclusion : The deinstitutionalization movement promoted mental health policies that transformed the old psychiatric hospital. This new analytical approach contributed to renewing the history of psychiatric nursing practices.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.890
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0010.000

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 head0.267
GPT teacher head0.476
Teacher spread0.209 · 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; both teacher heads agree on what is shown here.

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

Citations4
Published2020
Admission routes2
Has abstractyes

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