Modelling the role of organizational justice: effects on satisfaction and unionization propensity of Canadian
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
This research explores the direct influence of pay referents and procedural justice on pay satisfaction, job satisfaction and organization satisfaction, and the mediating role of these three aspects of satisfaction between forms of justice and unionization propensity. To test the importance and directions of these relations, we used a LISREL-type structural equation model. The findings showed that the three equity referents of organizational justice (internal, external and individual) are linked to pay satisfaction, and that distributive justice is a better predictor of pay satisfaction than procedural justice perceptions. In contrast, procedural justice is a better predictor of organizational satisfaction and job satisfaction than are distributive justice perceptions. The final model suggests that job satisfaction and organization satisfaction significantly influence propensity to join a union compared with organizational justice perceptions. The paper also specifies the limitations of the study and its practical implications, and makes suggestions for future research.
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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 | 0.001 | 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 | 0.000 |
| 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