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Record W1972281696 · doi:10.1080/1550428x.2014.981627

Gay, Lesbian, and Bisexual Youths Coming Out to Their Parents: Parental Reactions and Youths’ Outcomes

2015· article· en· W1972281696 on OpenAlexaff
Émilie D’Amico, Danielle Julien, Nicole Tremblay, Elise Chartrand

Bibliographic record

VenueJournal of GLBT Family Studies · 2015
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsLesbianSexual orientationPsychologyDevelopmental psychologyIntervention (counseling)Sexual identitySexual minorityIdentity (music)Coming outClinical psychologySocial psychologyHuman sexualityGender studies

Abstract

fetched live from OpenAlex

This study examines the contribution of parental reactions to their child's identity development and psychological adjustment following their child's coming out as gay, lesbian, or bisexual (GLB). Interviews on parental reactions were administered to 53 parents, and questionnaires on identity and adjustment were administered to their 53 GLB youths. Parental interviews were coded using 10 positive and negative dimensions of parental reactions. There were no gender differences in levels of positive and negative parental reactions and in levels of GLB youths’ outcomes. However, as expected, parents’ support of their child's sexual orientation, parents’ attempts to control their child's sexual orientation, and parents’ struggles with their child's sexual orientation were significantly associated with dimensions of youths’ identity and psychological adjustment. Parents’ gender also moderated the strength of the associations between parental reactions and youths’ outcomes. This study is of clinical relevance for intervention regarding sexually diverse populations.

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)0.004
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 score0.007
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.365
GPT teacher head0.480
Teacher spread0.114 · 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

Citations100
Published2015
Admission routes1
Has abstractyes

Explore more

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