THE RELATIONSHIP OF CUMULATIVE STRESSORS, CHRONIC ILLNESS AND ABUSE TO THE SELF‐REPORTED SUICIDE RISK OF BLACK AND HISPANIC SEXUAL MINORITY YOUTH
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".