Mapping education leadership of mental health promotion in one school district in British Columbia: A strength-based case study
Bibliographic record
Abstract
Mental illness is a public health emergency threatening youth's social, physical, and economic vitality (Fahey & Koster, 2019). School-based mental health initiatives have been identified as a sustainable approach to this issue (World Health Organization, 2019). This study employed a qualitative case-based methodology to understand how educational leaders effectively implement mental health policies and programming. Three significant findings were identified: 1) the leadership of mental health initiatives formed a closely interconnected network of relationships with distributed responsibility across clearly identified roles and responsibilities within the school system and externally with the province and community-based supports; 2) Making network attributes and patterns of communication visible provided district and school-based leaders with discernable areas for intervention and growth serving as an impetus for system improvement; 3). Systems that effectively implement mental health policies and programming intentionally utilize multi-level, multi-institutional, and multi-disciplinary implementation teams by co-developing innovative ways to remove barriers to service.
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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 | 0.006 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".