MétaCan
Menu
Back to cohort
Record W1642677291

Friendship Patterns among Lesbian and Gay Youth: An Exploratory Study

2000· article· en· W1642677291 on OpenAlexvenueno aff
Margaret S. Schneider, Jennifer Jo Witherspoon

Bibliographic record

VenueThe Canadian Journal of Human Sexuality · 2000
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsLesbianFriendshipSexual orientationPsychologyPopulationHomosexualitySocial psychologyExploratory researchHeterosexualityComing outGender studiesDevelopmental psychologySociologyDemography
DOInot available

Abstract

fetched live from OpenAlex

Research and commentary on lesbian and gay youth indicates that this population is in particular need of social support especially from peers both lesbian and gay as well as heterosexual. Yet very little is known about the friendship patters of lesbian and gay youth. This study explores these friendship patterns in the expectation that such research will suggest new ways of assisting lesbian and gay youth in finding social support. Data were collected from 22 lesbian and gay youth and 29 heterosexual youth between the ages of 16 and 21 years. Results indicated that lesbian and gay youth lived further away from their friends and had not known their friends as long as their heterosexual counterparts. Gay males and heterosexual females talked more often on the phone with friends than did lesbians or heterosexual males. Gay males were more likely than anyone else to have friends of the opposite sex and least likely to have friends of the same sexual orientation. Lesbians were the most likely to have sexual contact with people they considered to be friends. The implications of these finding are explored. (authors)

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 score0.042
Threshold uncertainty score0.083

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
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 head0.150
GPT teacher head0.396
Teacher spread0.246 · 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

Citations16
Published2000
Admission routes1
Has abstractyes

Explore more

Same venueThe Canadian Journal of Human SexualitySame topicLGBTQ Health, Identity, and PolicyFrench-language works237,207