Approach and avoidance motivations in response to being envied at work and their effects on proactivity
Bibliographic record
Abstract
Abstract The goal of the present study is to provide a deeper analysis of the envy‐proactivity link. Drawing upon regulatory theories and Smith's model on envy appraisal, we theorize that when envied individuals focus on the potential negative impact of envy on themselves, they adopt avoidant coping strategies, which hinder proactivity, whereas concern toward others stimulates approach‐motivated coping strategies, which foster proactivity. Specifically, our model operationalizes a parallel mediating mechanism between perceptions of being envied and proactivity via the serial mediation of self‐oriented concern and distancing, and other‐oriented concern and courtesy. Results from a multi‐source survey confirm that being envied indirectly decreases proactivity via the serial mediation of self‐oriented concern and distancing, and indirectly increases proactivity via other‐oriented concern and courtesy.
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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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".