The program evaluation of '<scp>Go‐To</scp> Educator Training' on educators' knowledge about and stigma toward mental illness in six Canadian provinces
Bibliographic record
Abstract
AIM: Schools are well positioned to promote mental health literacy and assist in the early identification of students who may have a mental disorder. However, many educators are unprepared to effectively address these issues. Enhancing this capacity may improve mental health outcomes for students. This report describes the application of a gatekeeper-type program, the 'Go-To Educator Training' (GTET), targeting educators whom students naturally gravitate toward for support, designed to improve educators' mental health knowledge and early identification skills and decrease stigma. METHODS: GTET was conducted in six Canadian provinces (Ontario, Nova Scotia, New Brunswick, Newfoundland, Alberta and Manitoba) (2012-2015), with 949 secondary school educators involved. Pre- and postintervention mental health knowledge and stigma surveys were completed. Paired t-tests assessed change in knowledge and stigma. ANCOVA compared knowledge and stigma change across subgroups. Correlation measured the relationship between knowledge and stigma. RESULTS: Knowledge significantly improved (t[919] = 58.40, P < .001, d = 2.12) and stigma significantly decreased (t[872] = 4.52, P < .001, d = 0.14). Similar results were identified within each province/region. Knowledge and stigma were correlated before (N = 922, r = .18, P < .01) and after the training (N = 888, r = .22, P < .01). CONCLUSIONS: These results suggest GTET may be an effective school-based mental health related intervention. Further study is needed to measure its long-term impact and its role in addressing youth mental health care referrals.
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 | 0.001 | 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 | 0.000 | 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".