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Record W1591784364 · doi:10.15443/ceyes.v1i1.423

Historia de la Utilización de Medidas Coercitiva en la Atención Psiquiátrica en Canadá Durante los Periodos de Pre Institucionalización e Institucionalizados

2024· article· es· W1591784364 on OpenAlexaff
Melodie Hull

Bibliographic record

VenueCuidado de Enfermería y Educación en Salud · 2024
Typearticle
Languagees
FieldPsychology
TopicHistorical Psychiatry and Medical Practices
Canadian institutionsCollege of the RockiesThompson Rivers University
Fundersnot available
KeywordsMedicineHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Este artículo presenta una visión histórica de la utilización de medidas coercitivas como medio para controlar el actuar y la violencia en las instituciones psiquiátricas en los períodos pre - institucionales e institucionales de atención de salud mental en Canadá, (mediados de los años 1800s - 1970s). Se exploran las prácticas y los resultados, que incluían la reclusión, la hidroterapia, quirúrgico, químico y restricciones físicas. Los tratamientos considerados eficaces durante el período, también tuvieron efectos adversos pero lo más importante es que se utilizaron de manera coercitiva contra los pacientes. La evidencia será proporcionada para apoyar esto. El advenimiento de la aplicación de la psicología en el siglo XX , a la práctica clínica y la introducción de la enseñanza de enfermería psiquiátrica es discutido brevemente en relación con el tema. Por último, el artículo habla brevemente de las tendencias y prácticas actuales en la atención de salud mental, tomando nota de la reducción significativa en el uso de medidas coercitivas en el período post-institucional.

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)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.096
Threshold uncertainty score0.696

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0100.007
Scholarly communication0.0040.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.012
GPT teacher head0.372
Teacher spread0.360 · 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 designObservational
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
Published2024
Admission routes1
Has abstractyes

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