Equipping youth for meaningful policy engagement: an environmental scan
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
To better address the mental health and substance use crises facing youth globally, a comprehensive approach, inclusive of mental health promotion is needed. A key component of mental health promotion is policy intervention to address the social and structural determinants of health. Importantly, youth should be engaged in these efforts to maximize relevancy and impact. Yet, while there is growing interest in the inclusion of youth in the policymaking process, there is a paucity of guidance on how to do this well. This environmental scan reports findings from a comprehensive search of academic and grey literature that was conducted using the electronic databases: CINAHL, ERIC, MEDLINE, PsycINFO, Google Scholar, and Google. Search terms included variations of 'youth*', 'educat*', 'engage*', 'policy' and 'policy training'. Thirteen English language training programmes met inclusion criteria. Analysis identified marked differences in programme philosophy and focus by geographic region and highlights the need for enhanced evaluation and impact measurement moving forward. This paper makes a needed contribution to the evidence-base guiding this key mental health promotion strategy, which holds the potential to address critical gaps in approaches to youth mental health and substance use.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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 it