“Stuck in the Middle with You?” Supervisory Level and Anger about Work
Bibliographic record
Abstract
Although sociologists have long been interested in the stratification of emotions, the occupational stratification of anger has been investigated in only a few general population studies. Through analyses of data representative of workers in Toronto, we evaluate the hypothesis that workplace hierarchical position, defined by supervisory level, has an inverted u-shaped association with the frequency of anger about work. We also evaluate the more specific hypothesis that the difference in work-related anger between front-line supervisors and nonsupervisory workers will be relatively larger among workers in the commodified services sector than other sectors. Results are generally consistent with our hypotheses. We find that both front-line supervisors in the commodified services sector, and secondary supervisors in all employment sectors, report more frequent anger about work than do nonsupervisory workers. In contrast, higher level supervisors report anger about work at about the same frequency as nonsupervisory workers. These associations are only slightly reduced by controls for work stress and stressors. We discuss how supervisory relations might explain differences in anger about work among workers at different levels in organizational hierarchies.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".