A snapshot of Physical Education in Italian primary schools: assessing the resources available for an instrument of health promotion.
Bibliographic record
Abstract
Background: Regular physical activity is crucial in preventing chronic diseases. International health authorities recommend that children and adolescents engage in at least 60 minutes of moderate to vigorous physical activity per day to achieve health benefits. Offering regular exercise opportunities to young people can promote the development of healthy lifestyles. In 2021, a new regu-lation introduced up to two compulsory hours of Physical Education per week in Italy and established that Physical Education should be entrusted to adequately trained teachers. The present study aimed to assess, from the perspective of the new teachers, the resources available for Physical Education in Italian primary schools. Methods: A questionnaire-based cross-sectional study was conducted among primary school Physical Education teachers during the year 2022-2023. Their opinion about the school resources were analyzed in light of their demographic characteristics and work experience. Results: Out of the 118 participating teachers, 96 (81.3%) reported the presence of a gym in their school. Participants expressed satisfaction with the size and windows of the gym, particularly for the schools of the North, as well as the adequacy of outdoor spaces. However, lower levels of satisfaction for locker rooms and gym small equipment emerged, especially among those teachers with less work experience. Conclusions: The introduction of the Physical Education teacher figure in Italian primary schools was an important step for health promotion in our country. However, some aspects related to the structural resources should be considered in future policies.
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.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".