International Positive Youth Development (PYD): Project SCORE in a Portuguese Setting
Bibliographic record
Abstract
Project SCORE is an online resource that sport coaches can utilize to intentionally deliver important youth development content, notably the 4 Cs: confidence, competence, character, and connection. This tool was both created and translated by an international research team into multiple languages, including the Portuguese context which was the focus of this study. Thirteen young (M = 26.23 years), experienced (M = 5.46 years of experience) head and assistant soccer and rowing coaches from two Portuguese clubs completed the P-CLSS-Q. Because of small sample size and non-normality, Wilcoxon Signed-Ranks tests were used to find that coaches ranked their ability to plan, support, and praise athletes’ life skills usage during and outside of training significantly higher after program implementation, Z = -2.04, p = 0.045, Z = -2.08, p = 0.039, and Z = -2.17, p = 0.035, respectively. Additionally, 70 youth Portuguese football and rowing athletes from various levels ranging from U11 to U19 completed the 4 Cs questionnaire. Paired sample t-tests using a Benjamini-Hochberg correction discovered several findings from pre- to post-intervention across the four inventories, including a significant increase in four coach-athlete relationship and four prosocial behaviour constructs, along with significant decreases in inversely scored low self-confidence and antisocial behaviour constructs. Surprisingly, ten of 14 self-competence factors demonstrated significant reductions in scores post program completion. Findings indicate that Project SCORE benefitted coaches in the areas of PYD and enabling life skill transfer, while athletes displayed relatively positive results save for the area of self-competence, which requires further investigation.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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; 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".