Examining Program Quality in a National Junior Golf Development Program
Bibliographic record
Abstract
Golf Canada recently restructured its national junior golf development program, Learn to Play, going from an original curriculum that focused on teaching golf skills to an updated curriculum that integrates the teaching of golf and life skills. The purpose of the study was to examine whether there were differences in program quality through implementation of the original program compared with the updated program. Five coaches using the original program and nine coaches using the updated program took part in the study over an entire summer golf season. The 14 coaches ( M age = 40 years) were each systematically observed on three occasions (i.e., total of 42 observations) and completed an end-of-season program quality questionnaire. The data were subjected to descriptive statistical analyses. Results demonstrated that (a) coaches who implemented the updated program were observed fostering higher levels of program quality than coaches who implemented the original program and (b) researcher observation scores were significantly lower than coach questionnaire scores of program quality. Results are discussed to situate the influence of the updated program on markers of quality. Practical implications for coach education and explicit life skills curricula are discussed.
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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 | 0.004 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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".