Supervisors’ social dominance orientation, nation-based exchange relationships, and team-level outcomes
Bibliographic record
Abstract
The prevalence of teams in contemporary organizations and the trend toward diversity in a workforce composed of members from multiple countries have drawn the attention of researchers on the consequences of diversity in workplaces. While there are potential benefits to diversity, relationship conflicts among team members may also result and affect team functioning. The aim of the present study was to explore how supervisors' social dominance orientation, a tendency to support the arbitrary dominance of specific social groups over others, may relate to relationship conflicts and reduced team commitment within teams. A two-wave study in a sample of 931 individuals from 108 workgroups was conducted to examine the relationship between supervisors' social dominance orientation and team functioning. Analyses indicated that supervisor social dominance orientation was associated with increased within-team differentiation of leader-member exchange (LMX) relationships based on team members' national origin. Such LMX differentiation (LMXD) was related to more within-team relationship conflict and in turn to reduced collective team commitment. The implications of these findings for research on supervisor social dominance orientation, within-team nationality diversity, and team functioning are discussed.
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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 | 0.001 | 0.004 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".