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Record W4313826546 · doi:10.3917/rsi.150.0007

Intervenir contre le gré du patient : médication pro re nata et vécu phénoménologique du personnel infirmier exerçant en milieu psycholégal

2022· article· fr· W4313826546 on OpenAlexaffabout
Charlène Seyer-Forget, Dave Holmes, Jean Daniel Jacob, Emmanuelle Bernheim, Étienne Paradis-Gagné

Bibliographic record

VenueRecherche en soins infirmiers · 2022
Typearticle
Languagefr
FieldPsychology
TopicHealthcare Decision-Making and Restraints
Canadian institutionsUniversité de MontréalUniversity of OttawaInstitut national de psychiatrie légale Philippe-Pinel
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

En milieu psycholégal, les infirmières sont régulièrement confrontées à l’utilisation des mesures restrictives, telles que la contention chimique, et doivent constamment naviguer entre soin et contrôle. Le débat portant sur l’éthique de la coercition et de l’usage des mesures de contrôle pour la violence en contexte de psychiatrie est loin d’être résolu. L’objectif de cette étude est de comprendre le vécu éthique d’infirmières exerçant dans un milieu psycholégal canadien au moment d’administrer un pro re nata (PRN, médicament au besoin) contre le gré du patient. Le vécu de quatorze infirmières est analysé dans une perspective éthique critique grâce à l’analyse interprétative phénoménologique. À travers les trois catégories principales, certitudes, paradoxes et apprentissage, les résultats montrent que les infirmières doivent engager simultanément leur allégeance au patient, au système de justice et à la culture de l’institution totale. Ces allégeances multiples génèrent des paradoxes qui affectent la manière dont les infirmières actualisent leur rôle professionnel.

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)0.013
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 score0.749
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0130.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0030.008
Insufficient payload (model declined to judge)0.0030.001

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 head0.191
GPT teacher head0.455
Teacher spread0.264 · 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

Citations1
Published2022
Admission routes2
Has abstractyes

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