The Influence of Team Demographic Composition on Individual Helping Behavior
Why this work is in the frame
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Bibliographic record
Abstract
The aim of our laboratory study was to examine how the demographic composition (in terms of gender and culture) of work teams can influence levels of helping behavior demonstrated among group members. Participants included 216 university students from undergraduate business programs in two large North American universities (108 men, 108 women) who were randomly assigned to small groups for the purpose of engaging in business case discussions. Discussions were videotaped in order to observe helping behavior among individuals. Our findings indicated that the numerical minority member (measured in terms of gender or ethnicity) was less likely to engage in the helping activity. These findings suggest that the effects of numerical minority status are not confined to task-performance related behaviors like participation and emergent leadership, but also influence behaviors that involve how members relate to one and other, and whether they engage in helping behavior.
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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 | 0.000 |
| Science and technology studies | 0.000 | 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