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Record W1990918256 · doi:10.7202/1013085ar

Étude des facteurs d’ajustement au deuil après un suicide et après un décès soudain non intentionnel

2012· article· fr· W1990918256 on OpenAlexaffvenue
Chantal Bournival, Monique Séguin, Marc‐Simon Drouin

Bibliographic record

VenueFrontières · 2012
Typearticle
Languagefr
FieldPsychology
TopicGrief, Bereavement, and Mental Health
Canadian institutionsUniversité du Québec à MontréalUniversité du Québec en OutaouaisDouglas College
Fundersnot available
KeywordsHumanitiesPsychologyPhilosophyArt

Abstract

fetched live from OpenAlex

La question de savoir si le deuil après suicide est plus difficile qu’une autre forme de deuil est encore débattue dans la littérature contemporaine. Cependant, outre la nature du décès, d’autres variables peuvent expliquer la difficulté du processus d’ajustement au deuil. Parmi ces variables, il y a la satisfaction de couple, la satisfaction de vie et l’attachement. Cette étude a comparé des femmes veuves endeuillées après un suicide (n = 22) et des femmes veuves endeuillées à la suite d’un décès non intentionnel (n = 24). Les résultats indiquent que les femmes endeuillées par le suicide d’un proche, comparativement à celles ayant vécu un autre type de deuil à la suite d’un décès non intentionnel, rapportaient davantage de détresse psychologique et une plus grande insatisfaction face à la vie et au couple. En revanche, la détresse ressentie n’est pas associée à la nature du décès, mais le niveau de satisfaction de vie et de couple serait davantage lié à la difficulté du deuil vécu.

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)0.012
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 score0.013
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.102
GPT teacher head0.335
Teacher spread0.234 · 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
Published2012
Admission routes2
Has abstractyes

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