Evidence of changing patterns in mental health and depressive symptoms for sexual minority adolescents
Bibliographic record
Abstract
Depression, sadness, low self-esteem, and self-harm affect a substantial number of young people in North America. However, the prevalence of these symptoms has been found to be consistently higher for sexual minority (i.e., lesbian, gay, bisexual) populations. In this study, we traced the trends and disparities in mental health, including self-harm, forgone mental health care, good feelings, feelings of sadness, and feeling good about oneself, with provincially representative data from Canada (N = 99,373; M age = 15). We reported whether the disparities have narrowed, widened, or remained the same for sexual orientation subgroups over time. We found that though sexual minorities report higher rates of all negative mental health indicators, the disparity in self-harm for gay adolescent males compared to their heterosexual counterparts has narrowed over time. However, some disparities have widened: the gap in feeling sad has widened for sexual minorities compared to their heterosexual counterparts. These findings have implications for the efficacy of interventions and the next steps in working to ameliorate mental health issues for vulnerable sexual minority adolescents in North America.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".