How role overload affects female teachers' work-life balance crafting behaviours: a coexistence collective moderation model
Bibliographic record
Abstract
Drawing from the conservation of resources theory, this study explored the interplay between role overload and work-life crafting behaviours, emphasising the moderating effects of job demands-abilities fit and Leader-Member Exchange (LMX). Utilising structural equation modelling, data from 342 full-time female primary school teachers in Iran was analysed. Results showed that teachers with a lack of work-life balance crafting behaviours reported heightened job demands. Furthermore, the presence of role overload diminished teachers' tendencies for work-life balance crafting behaviours. Both individual (perceived job abilities-demands) and situational (quality of leader-member exchanges) factors exhibited combined moderation effects on the relationship between role overload and work-life crafting behaviours among these teachers. This research enriches the literature on work-life crafting behaviours, shedding light on the intricate dynamics of work-life balance crafting behaviours influenced by a blend of individual and situational factors.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 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".