Understanding Physical Activity through the Experiences of Adolescent Girls
Bibliographic record
Abstract
Researchers have found that female youths are particularly vulnerable to withdrawing from sport and physical activity programs in early adolescence (see Active Healthy Kids Canada, 2010). However, there is an absence of a comprehensive, emic description of how female adolescents experience physical activity. Open-ended, semi-structured interviews were conducted individually with 15 early adolescent females (12–14 years old) and 20 middle and late adolescent females (15–18years old). Co-participants in the mid to late adolescent cohort provided retrospective accounts of their early adolescent experiences along with insight on how their experiences shaped their current participation. The girls’ voices were brought to the forefront through composite vignettes that highlight their physical activity experiences, integrating the words used by the co-participants. Results are discussed in relation to physical activity programming for adolescent females and why a qualitative approach is useful in contributing to gender-specific physical activity programming.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".