A psychological contract perspective of supervisors’ satisfaction with employees
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 focus of job satisfaction literature remains on the subordinate even though supervisors are responsible for evaluating employee performance, determining employee pay, raises, promotions, growth opportunities, etc., all of which impact employees’ subsequent performance that contributes (or not) to organizational success. Using a psychological contracts lens, we develop and test theoretical arguments predicting supervisors’ response to contributions is not uniformly positive depending on the type and amount of contribution involved. Across two studies, we ask supervisors to evaluate subordinates’ delivered contributions relative to promised contributions. Our results challenge the assumption that supervisors always desire larger amounts of work from their subordinates; excess contributions were associated with lower supervisors’ satisfaction with subordinates for some types of contributions. The results imply that subordinates’ contributions of work to supervisors may influence supervisors’ satisfaction with subordinates perhaps affecting their performance reviews and career opportunities.
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 | 0.000 | 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 | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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