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Record W4403014811 · doi:10.1016/j.amp.2024.09.009

Les violences conjugales dans les couples appartenant aux « minorités sexuelles » : quelles causes traumatologiques ?

2024· article· fr· W4403014811 on OpenAlexaff
Telma Mimault, Suzanne Léveillée, Yann Auxéméry

Bibliographic record

VenueAnnales Médico-psychologiques revue psychiatrique · 2024
Typearticle
Languagefr
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsUniversité du Québec à Trois-Rivières
Fundersnot available
KeywordsPolitical science

Abstract

fetched live from OpenAlex

Résumé Cette revue de la littérature souligne le lien entre le vécu traumatique dans l’enfance, le vécu de stress liés aux minorités, et l’association des deux, dans la perpétration de violences conjugales chez les minorités sexuelles. Même si les violences conjugales dans les couples des minorités apparaissent similaires aux violences dans les couples hétérosexuels, la violence bidirectionnelle y semble plus prégnante. Cette violence bidirectionnelle pourrait provenir d’un processus cyclique des violences de l’enfance à l’âge adulte, passant de traumatismes intrafamiliaux durant l’enfance, à des stress sociétaux liés à l’orientation sexuelle à l’adolescence, et in fine , à une violence dans le couple à l’âge adulte.

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)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
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 head0.087
GPT teacher head0.410
Teacher spread0.323 · 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
Published2024
Admission routes1
Has abstractyes

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