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Record W1131963052 · doi:10.71781/23029

Violence conjugale et détresse psychologique chez les jeunes couples : analyse de l'effet modérateur du soutien social

2010· dissertation· fr· W1131963052 on OpenAlexfundno aff
Isabel Fortin

Bibliographic record

VenueOpen MIND · 2010
Typedissertation
Languagefr
FieldSocial Sciences
TopicIntimate Partner and Family Violence
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of CanadaUniversité de MontréalUniversité Laval
KeywordsPsychologyPsychological distressDomestic violenceDistressPoison controlSuicide preventionClinical psychologyMental healthInjury preventionPsychiatryMedicineMedical emergency

Abstract

fetched live from OpenAlex

Les jeunes adultes sont plus susceptibles de subir de la violence conjugale que les adultes plus âgés. Toutefois, l'effet de se confier à propos de la violence subie sur la santé mentale est peu connu. L'objectif de cette étude est d'explorer les liens entre la violence conjugale, le soutien social et la détresse psychologique selon le sexe dans un échantillon de 233 jeunes couples. Les résultats indiquent que, pour les femmes, la fréquence de la violence psychologique subie, mais pas celle de la violence physique, était positivement associée à la détresse psychologique. Pour ces femmes, recourir à un plus grand nombre de confidents diminue la force de la relation entre la violence et de leur niveau de détresse psychologique. Pour les hommes, les fréquences de la violence physique et psychologique subies étaient positivement liées à la détresse psychologique, mais contrairement aux femmes, plus ils se sont confiés à propos de la violence qu'ils ont subi, plus leur niveau de détresse est élevé.

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)0.001
metaresearch head score (Gemma)0.006
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 score0.009
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
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 head0.042
GPT teacher head0.382
Teacher spread0.340 · 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
Published2010
Admission routes1
Has abstractyes

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