Girls just wanna have fun: Understanding the process of implementing a female youth-driven physical activity-based life skills program
Bibliographic record
Abstract
The Girls Just Wanna Have Fun (GJWHF) program is a physical activity-based life skills program that aims to facilitate positive youth development (PYD) outcomes. The format of the GJWHF program was based on Hellison's (1995, 2003, 2011) Teaching Personal and Social Responsibility (TPSR) framework. TPSR was developed from Hellison's work with at-risk youth and uses a strong instructor-participant relationship that allows for the gradual empowerment of youth (Hellison, Martinek, & Walsh, 2008). The main components of the TPSR framework include: (1) Personal Responsibility or Self-Control; (2) Effort; (3) Self-Coaching; (4) Leadership; and (5) Transference. Each of these five components arose as practical programming guidelines that have been shown to lead to positive outcomes (Walsh, Ozaeta, & Wright, 2010). The purpose of this research was to use a mixed-methods approach to understand how well the implementation of the GJWHF program adhered to the TPSR framework and whether this adherence had any impact on PYD outcomes. Results indicated that self-ratings of the five TPSR levels varied throughout the program but showed a gradual upward trend. In addition, interviews indicated that the youth perceived the program as one that is helping them be more responsible and to develop into leaders. This process evaluation represents an important step in understanding the process in which PYD programs, specifically those utilizing the TPSR framework, can be effectively implemented.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.018 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.006 | 0.006 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.002 | 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".