Teacher Mental Health and Leaves of Absences: A Pilot Study Examining Gender and Care
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The literature reports high levels of occupational stress for teachers, exacerbated by heavy loads of emotional labour in the classroom. We know less, however, about teacher mental health concerns as they relate to leaves of absences and returns to work, and the role gender may play related to leaves of absences and returns to work. Our pilot study aimed to address these gaps using a survey (n= 67) and follow up interviews (n = 8). We found that the stress teachers experienced at school often results from lack of support from administration, increased workload, lack of resources, violence, and isolation, which then impacts home lives. Over a quarter of teachers surveyed have taken a leave of absence from work, with the majority being women. Female teachers often used sick days to care for ill children. Stigma surrounding teacher mental health and leaves of absence were both perceived as prevalent within the profession.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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