Using creative methods to explore girl-identifying youth sport spaces: A case study of Canadian Girls Baseball
Bibliographic record
Abstract
Baseball is often considered a men-dominated sport, yet Canadian Girls Baseball (CGB) was created to offer girl-identifying youth a safe and supportive environment to play the sport. CGB is a women-led organization that provides baseball programming, including developmental and leadership programs. Given CGB’s goal to provide intentional pathways for girls’ to be involved and remain in baseball, coupled with the limited research that has explored this context, the purpose of this case was to explore girl-identifying athletes’ experiences of gender and girls-onliness and their role on psychosocial development within CGB using creative methods. The study was guided by a social constructivist feminist theoretical perspective. Participants included youth athletes and junior coaches who participated in a 2-part creative workshop and included creating a personal meaning map and engaging in critically reflective focus groups. Individual maps were created and reflected upon by participants within session 1. As part of an ongoing reflexive thematic analysis, a collective personal meaning map was created by the lead researcher and deconstructed with participants during session 2. Participants shared how sport was considered a first exposure to gender inequities, the value of having women coaches and umpires for representation and role models within the sport, and the importance of critically expanding the notion of life skills to include collective organization, awareness of and challenging gender norms, and resilience in facing inequities. Findings help to deepen our understanding of girl-centred youth development within sport, while also considering gendered experiences in youth baseball.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.040 | 0.019 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.004 | 0.010 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".