An Interdisciplinary University-Based Initiative for Graduate Training in Evidence-Based Treatments for Children’s Mental Health
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
States and jurisdictions are under increased pressure to demonstrate the use of evidence-based treatments (EBTs) for children’s mental health, increasing the demand for a workforce trained in these practices. Universities are a critical pipeline for this workforce. This article describes the genesis and evolution of a university-based initiative for training in EBTs for children, youth, and families. Given both the need to make training in EBTs available to future providers in a range of disciplines and that mental health providers increasingly find themselves on interdisciplinary teams (despite university-based training being relatively siloed along disciplinary lines), the initiative has had an interdisciplinary focus. Two tracks are described: (a) Practitioner Track, a course series in which students learn a specific EBT, and (b) Referral Track, a monthly lecture series designed to engage a wider university and community audience. Results of the program evaluation component of this initiative revealed that students can significantly increase their skills and self-efficacy in components of EBT delivery through participation in the active, skill-focused courses. Furthermore, the results of the lecture series evaluation appear to meet an important need for community-based providers and other supportive individuals in transferring useful knowledge about best practices. Implications and future directions are discussed.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 it