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Record W2309985822 · doi:10.7202/1034385ar

Autour de la souffrance soignante en soins palliatifs : entre idéal de soin et juste distance1

2016· article· fr· W2309985822 on OpenAlexaffvenue
Julien Simard

Bibliographic record

VenueFrontières · 2016
Typearticle
Languagefr
FieldHealth Professions
TopicHealth, Medicine and Society
Canadian institutionsInstitut National de la Recherche Scientifique
Fundersnot available
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

La souffrance émotionnelle et le burnout chez les professionnels des soins palliatifs sont des phénomènes de plus en plus discutés dans les médias et les publications spécialisées. Par contre, on comprend mal comment cette détresse au travail s’insère dans les dynamiques générales de l’accompagnement, mais aussi dans les pratiques et les représentations des institutions de soins palliatifs québécoises. Les données présentées dans cet article sont basées sur un terrain ethnographique réalisé en 2011 et en 2012 dans une maison indépendante de soins palliatifs québécoise. En les mobilisant ici, nous désirons contribuer à l’amélioration de la compréhension générale de la souffrance émotionnelle en milieu de travail palliatif. Dans le but de mieux comprendre comment la distance entre un idéal de soin et la réalité peut se creuser et ainsi entraîner potentiellement de la souffrance chez les soignantes, il nous semble qu’il faille explorer davantage la nature des rôles soignants attendus et/ou prescrits par l’institution et son cadre idéologique, la bonne mort.

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)0.005
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.122
Threshold uncertainty score0.242

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.025
Scholarly communication0.0070.005
Open science0.0010.006
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0070.001

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 head0.023
GPT teacher head0.372
Teacher spread0.349 · 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 designQualitative
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

Citations3
Published2016
Admission routes2
Has abstractyes

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