Innovations in Practice: ‘Go‐to’ Educator Training on the mental health competencies of educators in the secondary school setting: a program evaluation
Bibliographic record
Abstract
BACKGROUND: Educators can play an important role in early identification and triage of youth with mental disorders. This paper reports findings of a program evaluation of the 'Go-To' Educator Training in a secondary school setting. METHODS: Pre- and posttests were administered. RESULTS: Participant mean scores on mental health competencies changed from 12 (40%) (standard deviation [SD] = 4.3) pretraining to 21 (70%) (SD = 3.3) posttraining, t(119) = 25.6, p < .0001, d = 2.3. Participant attitude mean scores improved from 49.9 (SD = 4.6) pretraining, to 51.5 (SD = 4.2), t(115) = 4.3, p < .0001, d = 0.36. CONCLUSIONS: This training is a useful intervention to help educators identify youth with mental disorders and link them to appropriate services.
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.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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".