Exploring Mental Health Literacy Among Pre-Service Teachers
Bibliographic record
Abstract
Worldwide, prevalence rates of students experiencing mental health difficulties are growing, with only one in five receiving treatment. The role of teachers in collaborative efforts both to identify and to provide effective services for these students is an essential one. However, scant research has explored the mental health literacy of pre-service teachers. In the present study, 186 pre-service teachers completed a vignette-based measure (Child or Adolescent version based on each teacher’s experience) in order to assess their mental health literacy, comprised of beliefs and knowledge. Results indicate that participants expressed lower efficacy when teaching children or adolescents with externalizing as compared to internalizing behaviours but believed that a child or adolescent experiencing behaviours indicative of depression was of the greatest concern and in need of intervention. Pre-service teachers were able to correctly identify cases of anxiety and ADHD, but many attributed behaviours typical of depression to home life difficulties (Child version) or substance use/abuse (Adolescent version). Results are discussed in light of previous research in the field; recommendations for future research and practice are provided.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".