MétaCan
Menu
Back to cohort
Record W2114699428 · doi:10.1080/11745398.2015.1075224

Family leisure and the coming out process for LGB young people and their parents

2015· article· en· W2114699428 on OpenAlexaff
Dawn E. Trussell, Trisha Xing, Austin Oswald

Bibliographic record

VenueAnnals of Leisure Research · 2015
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsBrock University
Fundersnot available
KeywordsHeterosexismLesbianComing outPsychologyIdentity (music)Relation (database)Gender studiesHomosexualityNuclear familySocial psychologyDevelopmental psychologySociologyAesthetics

Abstract

fetched live from OpenAlex

This article examines how the coming out process for young people who identify as lesbian, gay, and bisexual (LGB) shaped the meanings and experiences of their family leisure engagement. The data draws on a purposive sample of 20 participants (7 young people and their parents). The findings emphasize that shared family activities (media in the family home, family outings and vacations, visiting extended family members) could be altered in relation to the coming out process and cultural norms related to heterosexism and homophobia. It highlights the significant role of mothers as well as extended family members who identified as LGB (i.e. aunts, uncles) in mediating familial relationships. Issues of identity formation (i.e. LGB young person, the parent of a LGB child) and the ongoing process of acceptance are emphasized.

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)0.004
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.006
Scholarly communication0.0040.002
Open science0.0000.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.457
GPT teacher head0.554
Teacher spread0.097 · 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

Citations18
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueAnnals of Leisure ResearchSame topicLGBTQ Health, Identity, and PolicyFrench-language works237,207