Cohesion and Performance for Female and Male Sport Teams
Bibliographic record
Abstract
A previous meta-analysis examining the relationship between cohesion and performance (Carron, Colman, Wheeler, & Stevens, 2002) revealed that this relationship was significantly stronger for female teams as compared with male teams. The purpose of the current study was to explore perceptions of the cohesion-performance relationship by coaches who have led teams of both genders. Semistructured interviews were employed with Canadian and German coaches with previous experience leading both male and female sport teams. The information obtained through the interviews yielded a number of categories pertaining to potential similarities and differences within female and male sport teams including: (a) the nature of cohesion (e.g., direction of the cohesion-performance relationship), (b) antecedents of cohesion (e.g., approaches to conflict), and (c) the management of cohesion (e.g., developing social cohesion). Overall, the results offer testable propositions regarding gender differences and group involvement in a sport context as well as informing best practices such that teams can attain optimal performance.
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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 | 0.009 | 0.027 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.006 |
| Bibliometrics | 0.006 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".