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Record W1867031541 · doi:10.3390/socsci4041006

Cross-National Investigation of Health Indicators among Sexual Minorities in Norway and the United States

2015· article· en· W1867031541 on OpenAlexaff
Ryan J. Watson, Christopher W. Wheldon, Lars Wichstrøm, Stephen J. Russell

Bibliographic record

VenueSocial Sciences · 2015
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsUniversity of British Columbia
FundersEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentNational Institute of Child Health and Human DevelopmentUniversity of North Carolina at Chapel HillNational Science Foundation
KeywordsNorwegianSexual orientationOddsSexual minorityDepression (economics)PsychologySubstance useDemographyCross-sectional studyHuman sexualityLogistic regressionPsychiatryMedicineSocial psychologyGender studiesSociology

Abstract

fetched live from OpenAlex

A cross-national study of young adult sexual minorities was conducted in order to explore the associations between sexual orientation and measures of depression, suicidality, and substance use. Two nationally representative data sets were explored from the United States (N = 14,335) and Norway (N = 2423). Results indicated that sexual minorities experienced multiple health disparities (depression, suicidality, and substance use) compared to their heterosexual counterparts. We found similar patterns of depression, suicidality, and substance use for sexual minorities in both the United States and Norway. The highest odds of substance use were among heterosexual-identified Norwegian youth who reported same-sex sexual activity, and the highest odds of suicidality were found for bisexual young adults in Norway. These findings have implications for how we consider culture and social policy as barriers and/or opportunities for sexual minorities.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.108
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.003
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.111
GPT teacher head0.439
Teacher spread0.329 · 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.

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

Citations3
Published2015
Admission routes1
Has abstractyes

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