Gaining Insight into Youth Programming and the Inclusivity of Girls
Bibliographic record
Abstract
Boys dominate youth recreational programs in ways that control the conversation and the physical space, which impedes the ability for girls to participate. This is distressing, given that youth recreational and social programs, for example, those focusing on personal development or on health and well-being, improve girls’ physical and mental health and serve as a protective buffer against negative health outcomes. We conducted a qualitative community-based Participatory Action Research (PAR) project in which we interviewed programmers responsible for social and recreational programs that cater to youth between the ages of 12 and 18 in a region of Southwestern Ontario, Canada. We examined factors influencing girls’ participation through the lens of a modified Bronfenbrenner Ecological Model. The findings were unpacked with a view toward gender equity, particularly focusing on girls’ health and well-being. Based on the findings, we created a knowledge mobilization gender-based toolkit, which, upon implementing, would make the benefits of recreational programming more accessible to girls.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".