Using the Team Environment AssessMent (TEAM) to Enhance Team Building in Sport
Bibliographic record
Abstract
Team building (TB) is recognized as one of the most prevalent and promising group-development interventions applied in sport. However, most coaches lack the necessary information to effectively and efficiently target and enhance specific group characteristics and processes. The aim of this study was to develop and apply the Team Environment AssessMent (TEAM) to better inform a TB intervention. Twenty-three male adolescent athletes (mean age 17.9 years) from an elite hockey team completed the TEAM and measures of cohesion before and after a TB intervention. Based on initial TEAM scores, role acceptance and leadership were identified and purposefully targeted in the TB intervention. Athletes’ perceptions of role acceptance, leadership, and task cohesion were stronger after the TB intervention. Furthermore, follow-up interviews with team members and coaches provided additional empirical support for the utility of the TEAM to assess and enhance the efficiency of a TB intervention in sport.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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; both teacher heads agree on what is shown here.
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".