Teacher Burnout in Pre‐Schools: The Role of Alexithymia and Job Satisfaction
Bibliographic record
Abstract
ABSTRACT Teaching is one of the most stressful professions and teachers working with children aged 0‐6 years are particularly at risk of burnout. The study aims to investigate the extent of burnout in a sample of Italian teachers working in educational settings for children aged 0–6 years and to examine the role of alexithymia—hypothesized as a risk factor—and the role of job satisfaction—hypothesized as a protective factor—in the development of burnout. The study involved 130 teachers (mean = 39.21; s.d. = 11.52; female: 98.5%), who filled out the following instruments: Maslach Burnout Inventory‐Educators Survey; Toronto Alexithymia Scale; Job Satisfaction Scale. Results indicate that alexithymia is positively associated with emotional exhaustion and depersonalization and negatively associated with personal accomplishment. The alexithymia dimension Difficulty Identifying Feelings is the most significant predictor of all three aspects of burnout. Job satisfaction is negatively associated with emotional exhaustion and depersonalization and positively associated with personal accomplishment. Regression analyzes show that in the presence of alexithymia, job satisfaction reduces the risk of burnout in relation to the dimensions of emotional exhaustion and depersonalization. The results underline the need to simultaneously consider personal factors, such as alexithymia, and contextual factors, such as job satisfaction, to prevent the risk of burnout.
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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 | 0.000 |
| Open science | 0.000 | 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 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".