“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.
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.
How this classification was reachedexpand
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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".