WHAT ARE MIDDLE‐SCHOOL GIRLS LOOKING FOR IN PHYSICAL EDUCATION?
Bibliographic record
Abstract
Many young women become disillusioned with physical education in their high‐ school years. Mounting evidence suggests that this disillusionment starts in early adolescence. This article discusses the experiences of female students in co‐ educational, middle‐school, physical education classes. Focus group interviews, individual interviews, and questionnaires were used to collect data. The following themes emerged: personal competence, a moving body is a healthy body, choice and variety for a lifetime, and an emerging sense of gender equity. Results provide guid‐ ance for the development of physical education curricula to gain and hold the interest of female, middle‐school students. Key words: adolescence, female, curriculum, exercise Bien des jeunes filles sont désillusionnées quant aux cours d’éducation physique au secondaire. Il y a de plus en plus d’indications que cette désillusion commence au début de l’adolescence. Les auteures présentent les expériences de filles dans les cours d’éducation physique mixtes au secondaire. Les données furent colligées au moyen d’entrevues de groupe, d’entrevues individuelles et de questionnaires. Les thèmes suivants ont surgi : la compétence personnelle, un corps en mouvement est un corps sain, choix et variété tout au long de la vie, émergence d’un sentiment d’égalité entre les sexes. Les résultats permettent d’orienter l’élaboration de programmes d’éducation physique qui sauront capter et maintenir l’intérêt des filles au secondaire. Mots clés : adolescence, filles, programme d’études, exercice physique
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".