Do students notice stress in teachers? Associations between classroom teacher burnout and students' perceptions of teacher social–emotional competence
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
Abstract The goal of the present study was to investigate the link between elementary school teacher burnout and students' perceptions of teacher social–emotional competence (SEC). A total of 676 Grades 4–7 students in 35 classrooms rated their classroom teachers' SEC. In addition, teachers self‐reported their current level of experienced burnout at work (i.e., depersonalization and emotional exhaustion). Multilevel analyses revealed significant classroom‐level variability (i.e., 34%) in student‐ratings of teacher SEC. Teacher burnout significantly predicted student‐rated teacher SEC, over and above significant student‐level variables (school self‐concept, sense of autonomy in the classroom) and contextual variables (teacher age, school neighborhood income). Specifically, higher levels of teacher burnout were related to receiving lower SEC ratings by students. Teacher burnout explained a significant portion of the classroom‐level variability in student‐rated teacher SEC. The present study emphasizes the link between teacher burnout and the SEC. Furthermore, given that teacher reports (burnout) were linked to student reports (teacher SEC), these findings also suggest that students notice stress in their classroom teacher.
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it