Implications of Canadian youth views for measuring youth mental health from a socio-economic perspective
Bibliographic record
Abstract
Developing meaningful indicators to track youth mental health (MH) is important to support the development and evaluation of responsive mental health promotion (MHP) initiatives that address the socio-economic determinants of youth MH. Development of relevant indicators is challenged, however, by the lack of knowledge regarding the relations among socio-economic factors and youth MH. Thirty diverse young people from a Canadian metropolitan area were engaged within a process of social praxis to explore their experiences of the inter-relationship between their socio-economic environments and their MH and their processes of seeking to realize their MH. Participants emphasized 'needs' as foundational to MH, whereas 'wants', driven by materialistic and wealth-oriented values and social norms, constrained their MH. Their reflections on the inter-relations among their MH and socio-economic processes highlight eight inter-related MH needs within the Canadian socio-economic context. In this paper, we present these needs and show how these needs, young people's affective states, and their access to resources within co-evolving socio-economic processes (to enable their needs) illustrate the fundamental inter-relation between young people's MH and socio-economic processes. We identify implications for measuring youth MH within MHP practice, including the importance of iterative indicator frameworks that include measures of young people's access to resources to enable their MH needs and their degree of distress.
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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 | 0.016 | 0.026 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.011 |
| Science and technology studies | 0.017 | 0.007 |
| Scholarly communication | 0.009 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".