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Record W2905325202 · doi:10.7202/1054242ar

Le rôle et l’impact des premiers répondants dans le processus de résilience familiale à la suite du suicide d’un adolescent

2018· article· fr· W2905325202 on OpenAlexaffvenue
Christine Genest, Nathalie Maltais, Francine Gratton

Bibliographic record

VenueCriminologie · 2018
Typearticle
Languagefr
FieldPsychology
TopicSuicide and Self-Harm Studies
Canadian institutionsUniversité du Québec à RimouskiUniversité de Montréal
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Le suicide d’un adolescent ou d’une adolescente crée généralement une onde de choc au sein du système familial. Les premiers répondants que représentent les pompiers, les ambulanciers ou les policiers sont les intervenants qui entrent en contact avec les familles lors de cette période de crise et de bouleversement. Leurs interventions et leurs attitudes à l’égard du suicide et des endeuillés peuvent donc influencer le cheminement des familles au cours de leur processus de deuil. À la suite d’une étude dont le but était de comprendre et de décrire le processus de résilience familiale après le suicide d’un ou d’une adolescente, une analyse secondaire des comptes rendus intégraux a permis de faire ressortir l’impact des premiers répondants sur le cheminement des membres (n = 17) de sept familles au cours de leur processus de deuil. Les résultats montrent que le contact avec les premiers répondants influence l’ampleur du cataclysme vécu au moment du suicide, ce qui teinte la suite du cheminement. Il serait donc pertinent de former les premiers répondants (policiers, pompiers et ambulanciers) à ce type de situation et de repenser l’organisation des services afin de mieux soutenir les endeuillés et de favoriser leur processus de résilience.

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)0.008
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 score0.026
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.155
GPT teacher head0.390
Teacher spread0.235 · 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

Citations1
Published2018
Admission routes2
Has abstractyes

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