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Record W2135712085 · doi:10.1002/jcop.21570

THE RELATIONSHIP OF CUMULATIVE STRESSORS, CHRONIC ILLNESS AND ABUSE TO THE SELF‐REPORTED SUICIDE RISK OF BLACK AND HISPANIC SEXUAL MINORITY YOUTH

2013· article· en· W2135712085 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Community Psychology · 2013
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsStressorPopulationSexual abusePsychologyLogistic regressionMedicineDemographyPoison controlSuicide preventionClinical psychologyOdds ratioPsychiatryEnvironmental healthInternal medicine

Abstract

fetched live from OpenAlex

Sexual minority youth [SMY] are a population who experience considerable stress related to their sexual identities. Previous investigations have identified individual risk factors that contribute to suicide among SMY, yet little research has focused on cumulative stressors that may exacerbate negative outcomes for multiethnic sexual minority youth [MSMY]. This study used hierarchical logistic regression to explore the relationship between cumulative risks and their relationship to self‐reported suicide risk for MSMY. The community‐based clinical sample (n = 137) reported high co‐occurrence of risks, with an average of 9. Overall, MSMY with a higher number of cumulative risk factors were twice as likely to express self‐reported suicide risk. Specifically, experiencing chronic illness and physical or sexual abuse resulted in threefold higher odds of self‐reported suicide risk among MSMY. These findings address a gap in the literature about the relationship of cumulative and specific stressors to the self‐reported suicide risk for an understudied, vulnerable population.

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.

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)0.001
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 score0.085
Threshold uncertainty score0.989

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
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 head0.093
GPT teacher head0.405
Teacher spread0.311 · 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