Suicidal behaviour among lesbian, gay and bisexual youth in British Columbia: risk and protective factors
Bibliographic record
Abstract
Recent research has found elevated rates of victimization experiences which have been linked to suicide attempts both in the general population and among lesbian, gay, and bisexual youth.The current study evaluated reports of suicidal behaviour, risk factors (e.g., physical victimization, harassment, and discrimination) and protective factors (e.g., school connectedness and safety, family connectedness and self-esteem) and compared the rates by gender and sexual orientation using population-level data (N=.Logistic regressions compared whether higher risk factors and lower protective factors predicted suicide attempts across sexual orientation categories.The results demonstrated that lesbian, gay, and bisexual youth reported higher levels of suicidal behaviour and risk factors, and lower rates of protective factors.Victimization predicted suicide attempts and higher rates of protective factors were associated with lowered odds of a suicide attempt.The importance of interventions related to protective factors among lesbian, gay and bisexual youth and clinical and systemic implications are discussed.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".