Exploring a parent-focused physical literacy intervention for early childhood: a pragmatic controlled trial of the PLAYshop
Bibliographic record
Abstract
Abstract Background Parents play a key role in young children’s physical activity and physical literacy development. Little research has explored parent-focused interventions to improve young children’s physical literacy. We examined if a theory-based, feasible physical literacy training workshop (PLAYshop) for parents could improve their physical literacy knowledge and confidence and improve parenting practices related to facilitating the physical literacy development of their preschool-aged child (3-5 years). The secondary objective was to explore implementation facilitators and barriers. Methods We conducted a pragmatic controlled trial in two Canadian cities (Edmonton and Victoria) from November 2019 – March 2020. A total of 143/151 parents were eligible and assigned to intervention (n = 71) or control group (n = 72). The PLAYshop included: (i) a 75-min in-person workshop with interactive activities and physical literacy educational messages, (ii) educational materials, (iii) an equipment pack, and (iv) two post-workshop booster emails. Surveys measured parents’ knowledge and confidence at baseline and follow-up. Application of PLAYshop concepts and implementation facilitators and barriers were explored with interviews of parents and workshop leaders. Repeated measures ANOVAs and thematic analyses were completed. Results Parents’ knowledge and confidence improved significantly over time; intervention group changes were significantly greater than control group changes (p
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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".