Bibliographic record
Abstract
Depression a disabling chronic illness that crosses borders, cultures, and elements of society. It is well known that there are a number of risk factors for depression including younger age, racial minority status, female sex, presence of substance abuse disorders, chronic illness, and lower socio-economic status. Sexual minorities have been identified as being another group at higher risk for depression, but there have been methodological issues with much of the existing research on sexual orientation and depression. In this work, methodological issues such as grouping different mental illnesses, failing to differentiate by sex, and failing to differentiate by sexual orientation have been overcome to describe the relationship between sexual orientation and depression. Three population representative samples were analyzed using regression techniques to examine the relationship of depression and sexual orientation. The results were combined with existing literature in a meta-analysis. The findings were that overall lesbians, gay men, and bisexuals do not have higher prevalence of depression than heterosexuals. There were three important findings: 1) heterosexual identified men who have same-sex activity have highest risk for depression, 2) gay men may have lower risk for depression than heterosexual men, and 3) gay men in the Canadian Armed Forces differ from civilian counterparts with higher prevalence of depression. This work adds to the existing literature on mental health in sexual minority populations. Further research is needed to examine other mental health disorders and to identify differences in risks based on more complex measures of sexual orientation.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".