Integrating workplace aggression research: Relational, contextual, and method considerations
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
Summary The present article takes an integrative perspective on the field of workplace aggression to highlight areas of ambiguity and opportunities for future research. First, by simultaneously examining the perpetrator‐ and target‐focused literatures, we identify a great deal of overlap between predictors and outcomes in the two literatures, giving rise to the question of whether key constructs are predictors, outcomes, or both. Second, we determine that the question of “who is the perpetrator?” and “who is the target?” is considerably more ambiguous than implied within each of these independent literatures. Third, our examination suggests that a greater focus on the relational aspect of workplace aggression is particularly important to enable a more comprehensive understanding of this phenomenon. We examine and critique current methods and measurement and propose different approaches to explore workplace aggression in a more dynamic and contextualized way. Copyright © 2013 John Wiley & Sons, Ltd.
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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 | 0.002 | 0.004 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it