An Ethnographic Study of Cohesiveness in a College Soccer Team Over a Season
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Based on an ethnographic study of a collegiate soccer team over an eight-month season, the purpose of this paper is to identify and examine the factors that contributed to team cohesion. Data were collected via participant observation, formal and informal interviews, documentary sources, a field diary, and a reflexive journal. The description-analysis-interpretation approach recommended by Wolcott (1994) framed the data analysis. Four key themes that influenced cohesion were clear and meaningful roles, selfishness/personal sacrifices, communication, and team goals. The fluctuating nature of these themes are discussed in relation to the multidimensional heuristic for cohesion presented by Cota, Evans, Dion, Kilik, and Longman (1995).
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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 | 0.002 | 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 | 0.001 | 0.000 |
| 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 it