Aproximación a la implementación de la alfabetización física en Chile: una revisión narrativa
Bibliographic record
Abstract
Physical performance is more than just a motor representation; it has to do with the conjunction of factors and aspects of the performer's personality, and their social interaction, based on a knowledge of what they do. In order to explain and analyse the concept of Physical Literacy (PL), from its origins and components, a narrative review was carried out, using different data sources (EBSCO, Scopus, ProQuest, PubMed, ScienceDirect, Google Scholar, IPLA, The Aspen Institute). To identify the situation in Chile, the national curriculum and other plans that addressed the life cycle in relation to physical activity were reviewed. Evidence of discussion, implementation and evaluation of physical literacy was identified, coming mainly from Anglo contexts (United Kingdom, Canada, United States, Australia, New Zealand, South Africa), as well as Europe (Netherlands), Asia (India, China) and South America. /Colombia, Venezuela). No evidence of an approach to PL was found in the Chilean context, although there are programs that seek to improve quality of life through the practice of physical activity. The meanings and scope of the PL invite us to discuss movement decisions, giving meaning and rationale to that decision, considering confidence, physical competence, knowledge and understanding of assuming the practice of physical activity for life. In Chile, the PL focuses on childhood and youth stages, not on adult stages or old age.
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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 | 0.014 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".