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Record W1989296747 · doi:10.1080/19359705.2013.879846

The Mental Health of Multiethnic Lesbian and Bisexual Adolescent Females: The Role of Self-Efficacy, Stress and Behavioral Risks

2014· article· en· W1989296747 on OpenAlexaff
Shelley L. Craig, Gina Keane

Bibliographic record

VenueJournal of Gay & Lesbian Mental Health · 2014
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsUniversity of Toronto
FundersLesbian Health FundNational Association of School Psychologists
KeywordsMental healthLesbianClinical psychologyMinority stressPsychologySubstance abuseDepression (economics)PsychiatrySexual minority

Abstract

fetched live from OpenAlex

Multiethnic lesbian and bisexual adolescent females (MLBAF) are vulnerable to health and mental health risks, such as depression, suicide, self-harm, family and school concerns, and stress resulting from a “triple jeopardy” of marginalization, yet these risks remain virtually unstudied. Based on minority stress theory, this pilot study found that for a sample of MLBAF (n = 116), the odds of self-reported poor mental health were more than five times higher for each unit increase in stress and almost seven times higher for sexual abuse. The presence of youth substance abuse academic problems and younger age made a significant contribution to poor self-reported mental health while high self-efficacy scores resulted in significantly fewer mental health concerns. Implications for practice are discussed.

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 score0.302
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.090
GPT teacher head0.447
Teacher spread0.357 · 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

Citations15
Published2014
Admission routes1
Has abstractyes

Explore more

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