Employees’ Reactions to a Citizen Incivility Climate: A Multilevel Multisource Study
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
Although public service employees are regularly exposed to uncivil behavior by citizens, we still know little about the effects of these incivilities. This study aims to examine the reactions of public employees who work in a climate of citizen incivility. Using a multilevel multisource design, we examine the indirect effects of citizen incivility climate on employee withdrawal and helping behaviors via job tension, and test the moderating influence of employees' public service motivation on these relationships. Our analyses were performed using data collected from a sample of 734 employees and 77 supervisors working in Canadian public libraries. Results show that public servants who work in a climate of citizen incivility experience greater job tension and consequently show more withdrawal and less helping behaviors. Our results also show that public service motivation acts as a buffer against the detrimental effects of incivility climate on helping behaviors, but not against withdrawal.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 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