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Record W4414194956 · doi:10.7202/1119889ar

Les racines de la « belle mort » : une étude ethnographique en milieu rural au Québec

2025· article· fr· W4414194956 on OpenAlexaffabout
Lise Fillion, Anne-Marie Veillette, Donna M. Wilson, Serge Dumont, Sandy Lavoie

Bibliographic record

VenueCahiers francophones de soins palliatifs · 2025
Typearticle
Languagefr
FieldPsychology
TopicGrief, Bereavement, and Mental Health
Canadian institutionsMichel-SarrazinUniversité LavalHôtel-Dieu de QuébecCanadian Nurses Foundation
Fundersnot available
KeywordsEthnographyRural communityRural populationContext (archaeology)

Abstract

fetched live from OpenAlex

Mourir loin d’une grande ville représente des défis particuliers. L’objectif de cette recherche consiste à mieux comprendre la construction culturelle du concept de « belle mort » en milieu rural. Pour ce faire, une étude ethnographique a été conduite au Québec. Des entrevues individuelles auprès de personnes ayant une expérience personnelle ou professionnelle à partager au sujet de la mort en milieu rural (n=25) et des entrevues de groupe (n=2) réunissant des intervenants en santé, des dirigeants municipaux et des responsables d’organismes communautaires ont été réalisées. Ces participants proviennent de deux régions spécifiques du Québec. L’analyse des données propose que le concept de « belle mort » s’apparente à celui de qualité de vie et comprend quatre dimensions : 1) physique ; 2) émotionnelle/psychologique ; 3) sociale ; et 4) spirituelle. L’interprétation met en relief plusieurs facteurs pouvant faciliter l’expérience d’une belle mort en milieu rural au Québec.

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)0.002
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 score0.026
Threshold uncertainty score0.174

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0130.005
Scholarly communication0.0030.001
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 head0.014
GPT teacher head0.350
Teacher spread0.337 · 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

Citations0
Published2025
Admission routes2
Has abstractyes

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