MétaCan
Menu
Back to cohort
Record W2126105941 · doi:10.2105/ajph.2007.122945

Out Yonder: Sexual-Minority Adolescents in Rural Communities in British Columbia

2008· article· en· W2126105941 on OpenAlexafffundabout
Colleen Poon, Elizabeth Saewyc

Bibliographic record

VenueAmerican Journal of Public Health · 2008
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsUniversity of British Columbia
FundersNational Institute on Drug AbuseCanadian Institutes of Health Research
KeywordsDemographyGeographyCriminologyEnvironmental healthMedicineSocioeconomicsPsychologySociology

Abstract

fetched live from OpenAlex

OBJECTIVES: We compared sexual-minority adolescents living in rural communities with their peers in urban areas in British Columbia, exploring differences in emotional health, victimization experiences, sexual behaviors, and substance use. METHODS: We analyzed a population-based sample of self-identified lesbian, gay, or bisexual respondents from the British Columbia Adolescent Health Survey of 2003 (weighted n=6905). We tested rural-urban differences separately by gender with the chi2 test and logistic regressions. RESULTS: We found many similarities and several differences. Rural sexual-minority adolescent boys were more likely than were their urban peers to report suicidal behaviors and pregnancy involvement. Rural sexual-minority adolescents, especially girls, were more likely to report various types of substance use. Rural status was associated with a lower risk of dating violence and higher risk of early sexual debut for sexual-minority girls and a higher risk of dating violence and lower risk of early sexual debut for sexual-minority boys. CONCLUSIONS: Location should be a demographic consideration in monitoring the health of sexual-minority adolescents. Lesbian, gay, and bisexual adolescents in rural communities may need additional support and services as they navigate adolescence.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.138
Threshold uncertainty score0.891

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.079
GPT teacher head0.369
Teacher spread0.290 · 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 teacher head, 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

Citations126
Published2008
Admission routes3
Has abstractyes

Explore more

Same venueAmerican Journal of Public HealthSame topicLGBTQ Health, Identity, and PolicyFrench-language works237,207