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Record W2189603391 · doi:10.1590/1984-0292/1489

Intimidation homophobe, stratégies d’adaptation et intégration de l’orientation sexuelle

2015· article· fr· W2189603391 on OpenAlexafffund
Marie-France Goyer, Martin Blais, Martine Hébert

Bibliographic record

VenueFractal Revista de Psicologia · 2015
Typearticle
Languagefr
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsUniversité du Québec à Montréal
FundersCanadian Institutes of Health Research
KeywordsSexual orientationPsychologyHeterosexismSexual minoritySexual identitySocial psychologyCoping (psychology)Sexual attractionIntimidationDevelopmental psychologyHomosexualityClinical psychologyHuman sexualitySexual behaviorGender studiesSociology

Abstract

fetched live from OpenAlex

Sexual minority youths (SMY) face challenges in consolidating their sexual identity because of heterosexism. The role of homophobic bullying and coping strategies in the formation of sexual identity has been explored within a convenient sample of 262 sexual minority youths. Six dimensions of sexual identity formation have been tested, independent variables being: homophobic bullying, coping strategies (avoidance and problem-solving), age, gender, migration trajectory, residency, sexual attraction and time elapsed since the realization of the sexual identity difference. Homophobic bullying was associated with a lower score of sexual identity affirmation and higher scores of identity concealment, internalized homo/bi-phobia, acceptance concern, identity uncertainty and process difficulty. Problem-solving coping strategies were associated with acceptance concerns. Avoidance coping strategies were associated with higher scores of acceptance concern and process difficulty in accepting non-heterosexual identity. Results confirm the importance of homo/bi-phobia prevention in order to help SMY in sexual identity consolidation.

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)0.002
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 score0.008
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
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 head0.065
GPT teacher head0.388
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 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

Citations5
Published2015
Admission routes2
Has abstractyes

Explore more

Same venueFractal Revista de PsicologiaSame topicLGBTQ Health, Identity, and PolicyFrench-language works237,207