Mitigating the risk that peer-initiated task conflict escalates into diminished helping: roles of passion for work and collectivistic orientation
Bibliographic record
Abstract
This study unravels the link between employees’ exposure to peer-initiated task conflict—defined as the extent to which they perceive that coworkers systematically contest and attack their opinions—and their engagement in helping behavior. Beliefs about interpersonal conflict might mediate this link, and two personal resources, passion for work and collectivistic orientation, arguably have moderating roles. To test these predictions, this study relies on survey data from employees who work in the banking sector, which confirm that peer-initiated task conflict diminishes helping behavior, because the focal employees come to believe coworkers are responsible for their emotion-based quarrels. Employees’ passion for work and collectivistic orientation buffer this harmful dynamic. Organizations thus should recognize that exposure to overcritical colleagues can undermine voluntary work behaviors, as well as consider how they might help reduce the force of this negative dynamic by enabling employees to find ways to draw from their supportive personal resources.
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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 | 0.001 |
| 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 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".