The mediating effects of minority stress experiences on cannabis consumption among 2SLGBTQ+ youth
Bibliographic record
Abstract
Introduction Data suggest there are within-group variations in cannabis consumption among sexually diverse individuals. However, less is known about specific sexual orientations, such as Two-Spirit, asexual, pansexual, and queer (2SAPQ+), when compared with lesbian, gay, and bisexual people, as they often are not given an option to indicate their identities on surveys, leading them to be grouped with bisexuals. This study aimed to compare the relationship between LG and 2SAPBQ+ (including bisexual) identification and routine cannabis use, and whether it was mediated by minority stress.Methods Data were collected across two time points from 851 Two-Spirit, lesbian, gay, bisexual, queer, and questioning (2SLGBTQ+) youth participants. Structural equation modeling (SEM) was employed to analyze whether latent constructs within the minority stress framework mediated the relationship between sexual identity and cannabis use longitudinally.Results A preliminary logistic regression confirmed that 2SAPBQ + individuals were more likely to consume cannabis than LG individuals. The results suggest that the minority stress constructs accounted for a significant portion of the variance within the relationship between sexual orientation and cannabis use.Conclusion The pathway between sexual orientation and routine cannabis use was complex. Findings signal that not all sexual minority individuals should be grouped into one category and call for attention to careful measurement practices.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".