An Environmental Scan of Ontario’s Mental Health and Addiction Services Exclusive to LGBTQ2S+ Youth During COVID-19
Bibliographic record
Abstract
Abstract Background: LGBTQ2S youth experience mental health disparities and higher rates of substance use when compared to their cisgender and heterosexual peers yet also experience more barriers to access to services. The purpose of this environmental scan is to determine the types of mental health and substance use programs and services exclusive to LGBTQ2S youth in Ontario and how these services have changed during the pandemic. Methods: This environmental scan was conducted to identify existing programs and services in Ontario that offered exclusive mental health and addiction services to LGBTQ2S+ individuals aged 16-29, either by offering services to all or subgroups within the population. Results: In total, 113 organizations and 240 programs and services were identified as providing mental health and substance use services exclusively to LGBTQ2S+ youth. Four main themes were identified from the scan, including the distribution of services, types of services, methods of service delivery and program criteria. Adaptations for the COVID pandemic included cancelling in-person services, increasing online and telephone services, and expansion to province-wide from local availability. Conclusions: The findings from this scan highlight the importance of offering services that provide culturally inclusive care for LGBTQ2S+ youth, and these results can also be used by policy makers to inform policies. In particular, there was a lack of culturally-relevant clinical services for youth requiring greater intensity of treatment.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.010 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.000 |
| 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".