A literature review: Exploring barriers to Canadian youth mental health supports and services
Bibliographic record
Abstract
Mental health for Canadian youth is an increasingly worsening issue. For many young people who are struggling with their mental health, securing meaningful and appropriate mental health support is challenging. There are significant barriers to accessing mental health services. Barriers can include, but are not limited to, supports available, wait-times, cost, social stigma, and systemic discrimination. For youth belonging to vulnerable communities, these barriers can be exacerbated by social demographic factors (e.g., gender, race). Supports which do not address the unique needs of diverse youth can contribute to poor mental health. Individuals and families often incur large expenses when attempting to access services. The persistence of stigma associated with mental illness can make young people feel increasingly isolated and alienated from peers, family and community members. More research is needed on how to improve service design as well as inputting holistic measures to break down barriers for youth seeking mental health support. In this literature review, we explore key research on the demographics of Canadian youth seeking mental health help, focusing on barriers such as long wait times, service design and community-based options that affect access and outcomes.
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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 | 0.009 | 0.035 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.035 | 0.063 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".