Tailored Mental Health Literacy Training Improves Mental Health Knowledge and Confidence among Canadian Farmers
Why this work is in the frame
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Bibliographic record
Abstract
We hypothesized that "In the Know" would significantly increase participants' knowledge around mental health, confidence in recognizing mental health struggles, confidence in speaking about mental health with others, and confidence in helping someone who may be struggling with mental health. "In the Know" was a 4-h, in-person program delivered by a mental health professional who also had experience in agriculture. Six sessions were offered in Ontario, Canada in 2018. Participants were farmers and/or worked primarily with farmers. A pre-training paper questionnaire was administered, followed by a post-training questionnaire at the end of the session and 3 and 6 month post-training questionnaires via email. Wilcoxon signed-rank tests were performed to compare participants' self-reported knowledge and confidence across four timepoints. "In the Know" significantly improved participants' self-reported mental health knowledge and confidence in recognizing mental health struggles, speaking to others, and helping others who are struggling immediately following training and often at 3 and 6 months post-training. This is the first study among farming populations to measure program impact with 3- and 6-month follow-ups. Given the reported associations between mental health literacy and increased help-seeking, disseminating "In the Know" more broadly across farming communities may help to increase mental health literacy and thus increase help-seeking among farmers.
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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 | 0.001 | 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 | 0.001 | 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