Dear Teachers: : What Youth Living With Mental Illness Want Teachers to Know
Bibliographic record
Abstract
In a climate with increased awareness about the role of mental health in the classroom, this paper explores the messages that youth living with mental illness want to send to future teachers. The findings in this paper are part of a larger study where the author partnered with youth and teacher candidates to develop curriculum for a professional development day at a Canadian Faculty of Education where teacher candidates had the opportunity to learn how they could contribute to a mentally healthy classroom in general, and support the needs of students living with mental illness in particular. Youth in this study recognized that teacher candidates can be the next generation of mental health champions in their schools by approaching their practice through an affirming, anti-discriminatory lens. At the same time, youth expressed frustration at finding their voices missing and their perspectives devalued in documents, policies, and practices intended to serve them because of disempowering stereotypes associated with people living with mental illness. Youth wanted the opportunity to contribute their lived experience to the task of shaping mental health literacy education.
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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 | 0.006 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".