An Innovative Approach to Increasing Youth Sport Participation: The Case of Baseball5™
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Youth sport participation preferences are evolving and shifting toward unorganized, nontraditional types of sport participation. This trend has left more traditional sports with decreasing participation numbers. Baseball Canada noticed a similar trend and therefore implemented an innovative approach to increase interest and participation in baseball. This case study follows Alex, the Manager of Sport Development at Baseball Canada, as they develop and evaluate Baseball5 ™ , an innovative street version of the traditional sport of baseball. This alternative form of baseball needs to be tested and evaluated in five pilot programs throughout Canada. Alex collects survey, interview, and focus group data following each of the pilot programs to determine whether the approach is viable for increasing interest in baseball long term. After reading the case, students are tasked with analyzing the collected data and designing the Baseball5 ™ program for long-term implementation. The case is ideal for upper year undergraduate students who have the skills and knowledge necessary to execute program evaluations and build holistic program implementation plans, and for undergraduate courses in research methods or data analysis.
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.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it