Organizational commitment, organization-based self-esteem, emotional exhaustion and turnover: A conservation of resources perspective
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
We examined the relationship of four commitment dimensions (affective, normative, continuance-perceived sacrifices and continuance-lack of alternatives) to emotional exhaustion over time under the lens of conservation of resources theory. Using data from 260 employees, Time 1 lack of alternatives and normative commitment contributed positively to Time 2 emotional exhaustion, controlling for Time 1 emotional exhaustion. Organization-based self-esteem (OBSE) moderated the relationship of lack of alternatives commitment to emotional exhaustion such that the relationship was stronger when OBSE was high. We further theorized that the resource drain engendered by emotional exhaustion would cause the latter to be positively related to turnover, controlling for commitment dimensions. Results supported this prediction. The implications of these findings for future research on commitment, emotional exhaustion and turnover are discussed.
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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 | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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