‘The pandemic is over but it’s not over’: health teachers’ perspectives post-pandemic lockdown
Bibliographic record
Abstract
This research sought insights into ways in which health teachers understand their roles, particularly as relates to health curriculum and supporting students’ transition back to in-person learning following the post-pandemic lockdown. Interviews were conducted with urban and rural, elementary and secondary health teachers and analysed using constructivist grounded theory. Analysis revealed how teachers adapted their instructional strategies based on their observations of ways students needed both mental health supports and were tired of talking about mental health. In addressing issues related to the pandemic, teachers remained as neutral as possible, and resisted perpetuating polarizing public discourses without avoiding them. Participants also connected with social justice issues, employing gender-inclusive language, displaying supportive symbols of 2SLGBTQ+, and working with Indigenous Knowledge Keepers. Support of students’ transition back to in-person learning after the lockdown informed development of the grounded theory model: health education as œuvre d’art, nothing short of a work of art.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".