Supporting Students' Mental Health and Emotional Well-Being in Inclusive Classrooms
Bibliographic record
Abstract
Many governments, organizations, and school boards have recently committed to focusing their attention on children's Mental Health and Emotional Well-being (MHEW) (e.g., Kidger, Gunnell, Biddle, Campbell, & Donovan, 2010; Mental Health Commission of Canada, 2013; Ontario Ministry of Education, 2013b). Although often left out of the conversation, teachers play a critical role in supporting and fostering children's MHEW. The purpose of this chapter is threefold: (1) to introduce educators to a critical mental health literacy (CMHL) approach, (2) to identify the teacher's role in supporting MHEW in inclusive classrooms, and (3) to support educators in their efforts to provide inclusive classrooms that accommodate all needs, including MHEW, through the introduction of mindfulness and critical media literacy.
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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 | 0.001 |
| 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 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".