Bibliographic record
Abstract
The need to integrate men and women more effectively into team roles requires a fuller consideration of the dynamics of work‐team diversity and the consequences for both behavior and cognition among team members. Drawing from sociological and psychological perspectives, this study examines the influence of team gender composition and gender‐orientation of the task on members' perceptions of their team's performance. The participants for this study included 216 university students (108 men, 108 women) who were randomly assigned to one of three types of gender‐mixed teams – male‐dominated, female‐dominated and balanced‐gender work‐teams. Teams were required to generate, in a (videotaped) team meeting, a negotiation strategy for two business‐related cases. Self‐report instruments provided information regarding perceptions of team performance, and expert judges offered objective measures of team performance. The findings of this study offer striking evidence that team gender composition and the gender‐orientation of the task, can clearly affect member perceptions of the quality of their team's performance, regardless of the actual performance level achieved.
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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 | 0.010 |
| 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 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".