Perceived Dissimilarity and Perspective Taking Within Work Teams
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
The authors investigate the relationship between employee perceptions of surface- and deep-level dissimilarity and within-team perspective taking. Results suggest that the more dissimilar employees perceive themselves to be from their fellow team members in terms of their work style, the less their perspective taking (i.e., lower positive attributions and empathy). In addition, the authors found that perceived work-style dissimilarity interacted with a contextually salient surface-level attribute (perceived age dissimilarity) such that when perceived work-style dissimilarity was low, perceived age dissimilarity had a stronger negative effect on within-team perspective taking. This study demonstrates the importance of considering perspective taking in their understanding of the effects of dissimilarity within teams and furthers theoretical understanding of the effects of relational demography by testing competing theories undergirding relational demography research.
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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 | 0.001 | 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 it