Job Pressure, the Work-Family Interface, and the Sense of Distributive Injustice: An Elaboration of Work-Related Inputs among Twenty-First Century Workers
Bibliographic record
Abstract
Research in social psychology demonstrates that the sense of distributive injustice has emotional, health, and behavioral consequences. It is therefore important to assess how individuals come to perceive their earnings as unjust. I provide new insights to this question by integrating perspectives in distributive justice, the stress process, and the work-family interface. Specifically, I describe a model that delineates how excessive work pressures elevate workers’ sense of what they should earn through actions and strains in the work-family interface. Using data from a 2017 sample of Canadian workers, the results indicate that higher job pressure is associated with a greater expectation of rewards. Part of this association is indirect through role blurring behavior and work-to-family conflict, and this mechanism is intensified for parents. Collectively, these discoveries expand the scope of what counts as inputs in shaping employees’ sense of what they should justly earn.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.007 | 0.010 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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".