Having a Goal Up Your Sleeve: Promoting a Mastery Climate in a Youth Football Academy Team
Bibliographic record
Abstract
In sport, there is extensive evidence that supports the benefits associated with a mastery climate. However, limited studies have explored how physical tools could be used to promote mastery climates in youth sport contexts. Using an action research approach, we sought to understand the benefits and drawbacks of applying tools grounded in goal setting to promote a mastery environment: (a) an “arm sleeve” to be worn by athletes during training and matches and (b) a “reflection sheet” for use pre- and posttraining/-matches. These tools were implemented for a 3-week period with a U13 academy team (18 players and two coaches). Based on observation notes, focus groups, and one-on-one interviews, the analysis showed that the arm sleeves were helpful reminders for process goals, whereas the coaches had abandoned the use of reflection sheets due to lack of time. The benefits and drawbacks of the tools are discussed while pedagogical and practical implications are considered.
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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 | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".