School Mental Health: The Impact of State and Local Capacity-Building Training
Bibliographic record
Abstract
Despite a growing number of collaborative partnerships between schools and community-based organizations to expand school mental health (SMH) service capacity in the United States, there have been relatively few systematic initiatives focused on key strategies for large-scale SMH capacity building with state and local education systems. Based on a framework of ten critical factors for capacity building, as well as existing best practices, two case studies were utilized to develop a replicable capacity-building model to advance interagency SMH development. Seventy education and mental health stakeholders from two selected states participated in baseline assessments of skill com-petency and critical factor implementation followed by two-day trainings (one in each state); 29 (41%) of the participants also completed a six month follow-up assessment. Targeted competencies increased significantly for participants from both states, with large effect sizes (d = 2.05 and 2.56), from pre- to post-training. Participant reports of critical factor implementation increased significantly for one of the two states (t[15] = -6.40, p < .001, d = 1.77). Results inform specific training recommendations for stakeholders and collaborative teams, as well as policy implications to support future development of SMH service capacity.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".