A 20th-Century Narrative on the Origins of the Physical Literacy Construct
Bibliographic record
Abstract
While it is commonly thought that physical literacy is an early 21st-century construct and is often credited to Margaret Whitehead, in fact, the term physical literacy can be traced back to the late 1800s. In this narrative, the authors review descriptions of physical literacy that appeared in the late 19th and early to mid-20th century literature and show how physical literacy is historically tied to the reoccurring contextual issue of threats to active lifestyles and how definitional components of the construct have both remained consistent, while others changed over the course of the century. They conclude by discussing some tensions that have arisen with the Whiteheadian construction of the term, as well as the conflation of the term with fitness or physical education. In doing so, the authors hope to open up greater discussion of the multidisciplinary potential of this construct.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.025 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.007 | 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".