Understanding daily citizenship behaviors: A social comparison perspective
Bibliographic record
Abstract
Abstract Research that has sought to understand why employees engage in organizational citizenship behaviors (OCB) has concentrated on between‐person variables, typically ignoring intraindividual influences. Accordingly, we know much about who engages in OCB, in general, but know relatively little regarding under what circumstances people engage in OCB. By integrating social comparison with affective events and just‐world theories, we propose and test a dynamic model wherein directional social comparisons are expected to have direct (automatic‐motivational) and indirect (affective) intraindividual effects on OCB. The hypotheses were tested using multilevel modeling on 1076 observations from 99 participants that were collected via an interval‐contingent experience sampling methodology. The results provide support for the hypotheses that social comparisons are related to OCB through positive affect and the direct effects of social comparisons on OCB are moderated by beliefs in a just world. Theoretical and practical implications are discussed. Copyright © 2011 John Wiley & Sons, Ltd.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 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".