"I Could Be on Facebook by Now": Insights from Canadian Youth on Online Mental Health Information Resources / « Je pourrais déjà être sur Facebook »: points de vue de la jeunesse canadienne sur les sources d'information en ligne concernant la santé mentale
Bibliographic record
Abstract
The goal of this research was to learn from Canadian youth how they look for online information about mental health and to explore how they would prefer to receive information. Saturation was reached within four focus groups with a total of 21 youth participants, including 5 male and 16 female participants from various regions in Canada. Focus group participants were heavy users of social media but acknowledged the problematic aspects of using these sites to discuss or access mental health information. There was in general a lack of knowledge about mental illnesses and a high level of concern over stigma associated with seeking or providing mental health information online. Youth expressed a desire for interactive elements and youth-related material on mental health sites in order to engage and inform them.
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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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.020 | 0.006 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".