Drawing Team Members Together: Intersection of Socialization Tactics and Proactivity With Cohesion
Bibliographic record
Abstract
The effects of having new individuals join a team introduce competitive and cooperative actions that are challenging to groups. Employing socialization tactics that provide tailored role information and cultivate opportunities for social connection is positively related to perceptions of cohesion. However, the socialization process likely relies on the specific actions undertaken by members of the group on their own behalf (i.e., proactivity behaviors). The purpose of the present study was to examine how individual proactive behaviors interact with the group's socialization tactics to predict group cohesion. Athletes' (N = 398) responses to surveys were analyzed via polynomial regressions and response surface analyses to examine the independent and interactive effects of the predictor variables on cohesion. The results pointed to the importance of employing socialization tactics that can work in tandem with proactive behaviors, such that both approaches contributed uniquely to the integration of new and existing members on sport teams.
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How this classification was reachedexpand
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 | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".