Engaging young people within a collaborative knowledge mobilization network: Development and evaluation
Bibliographic record
Abstract
BACKGROUND: It is critical that mental health systems place a focus on prevention and early intervention focused on young people while integrating youth voice to guide priority directions. OBJECTIVE: This study was designed to better understand how youth advisories can be utilized to influence strategic directions within integrated knowledge mobilization networks operating within the youth mental health system. DESIGN: To support this objective, we reviewed the detailed stages of development in establishing a youth advisory within a national network designed to support the integration of youth services. We also engaged the advisory in a participatory evaluation process that examined the extent to which the network had created processes to include youth voice in decision-making. RESULTS: Results from the surveys identified moderate to high levels of individual engagement as well as strong development of processes and procedures that support the inclusion of youth voice across the network. DISCUSSION: Major successes and challenges are presented and discussed with respect to the development of the advisory. The findings are useful for youth advocates and adult allies working to support youth engagement (YE) in knowledge mobilization to enhance the mental health services system. This study also contributes to research and evaluation efforts examining YE and represents an exemplar methodology for evaluating YE efforts at the system level. PATIENT OR PUBLIC CONTRIBUTION: Young people as mental health service users and youth mental health advocates were involved in the design, data collection, analysis and interpretation of the data as well as the preparation of this manuscript.
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How this classification was reachedexpand
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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".