Young Female Soccer Players’ Perceptions of Their Modified Sport Environment
Bibliographic record
Abstract
Competitive engineering is a process whereby sport organizations modify the rules, facilities, and equipment involved in sport to facilitate desirable athlete outcomes and experiences. Competitive engineering is being increasingly adopted by youth sport organizations with empirical evidence positively supporting its influence on skill development and performance. The purpose of this study was to explore young female athletes’ experiences in their modified soccer environment. Seventeen recreational and competitive soccer players, aged 8–11, participated in semistructured photo elicitation interviews that featured several visual qualitative methods (i.e., athlete-directed photography, drawing exercises, and pile-sorting) to facilitate insight on their sport environments. Results revealed that the athletes’ competitively engineered soccer experience was perceived as being a distinct environment that emphasized personal development, positive relationships, and the underlying enjoyment of sport. These findings shed light of how youth sport structure modifications influence the athletes’ experiences, providing practical implications to further promote positive youth sport experiences.
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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 | 0.001 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.019 | 0.003 |
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".