Affective Experiences Linking Abusive Supervision to Voluntary Work Behavior
Bibliographic record
Abstract
This study examines the interactive effect of abusive supervision directed toward oneself (own abusive supervision) and toward work unit peers (coworker abusive supervision) on employees’ voice and counterproductive behavior through discrete affective states. Based on attribution theory, we propose that own and coworker abusive supervision interact in distinct ways in influencing employees’ shame, anger, and fear at work. We tested the hypotheses using a sample of 216 full-time workers from 49 work units. We found that own abusive supervision was more strongly associated with experience of shame when coworker abusive supervision was low (vs. high). In contrast, personal abuse by the leader had a stronger positive association with fear when coworker abusive supervision was high. In addition, whereas shame was negatively related to voice behavior, anger was positively related to counterproductive work behavior (CWB). We discuss the study’s implications for theory development concerning abusive supervision and for future research opportunities.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".