From Mentoring to Career Satisfaction: The Roles of Distributive Justice and Organizational Commitment
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
A mentor-mentee relationship is a productive partnership on both sides. Mentoring has been repeatedly shown to positively influence several work-related outcomes in an organization. Therefore, the present study explored how mentoring, distributive justice, organizational commitment and career satisfaction are related to each other in order to reveal the mentoring effects both at individual and organizational levels. The study included a sample of 280 participants. SPSS 22.0 and AMOS 22.00 software programs were used to perform the statistical analyses of the study data. The results revealed that mentor role and distributional justice have positive effects on organizational commitment, while organizational commitment positively affects career satisfaction. There was also a positive covariance between mentor role and distributive justice. The findings are discussed from the perspective of both management literature and organizational implications.
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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 | 0.000 |
| 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) | 0.000 | 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