Cultural adaptation of Physical Literacy Knowledge Questionnaire: a pilot study in primary school children
Bibliographic record
Abstract
Vchodiska: Vznam pohybov gramotnosti (PG) zdraznila ada studi a iniciativ po celm svt. Pstup k PG je diskutovn zejmna v anglosaskch zemch a je zdrazovna vcerozmrn povaha PG tm, e hodnot oblasti jako je kadodenn pohybov chovn, pohybov kompetence, znalosti s porozumnm a psychosociln aspekty potebn pro aktivn ast na pohybovch aktivitch. Cle: Clem studie bylo kulturn adaptovat a ovit dotaznk Canadian Assessment of Physical Literacy - Knowledge Understanding (CAPL-KU) pro hodnocen kognitivn oblasti PG, konkrtn znalost a porozumn pohybov aktivit, u k zkladnch kol v esk republice. Metodika: Studie se zastnilo celkem 237 dt ve vku 6-12 let ze t kol v rznch krajch esk republiky. Dotaznk CAPL-KU byl nejprve peloen 3 nezvislmi odbornky se zptnm pekladem do anglickho jazyka a v diskusi pak nsledn kulturn upraven. Pot byl pilotn oven a validovn pomoc fokusnch skupin. Vyhodnocen odpovd probhlo statistickmi procedurami, vetn pouit neparametrickch test a Spearmanovy korelace, aby se zhodnotil vztah mezi vkem, pohlavm a znalostmi o pohybov aktivit. Vsledky: Z procesu pekladu a kulturn adaptace vyplynulo, e 8 z 12 otzek bylo vtin dt dobe srozumitelnch. Nkter pojmy a formulace vak inily pote zejmna mladm dtem, a byly tedy upraveny. Celkov rove znalost byla mrn nadprmrn, dn k nedoshl velmi nadprmrnho vsledku. Dvky si vedly lpe ne chlapci, ale rozdl nebyl statisticky vznamn. Vk vykazoval slabou pozitivn korelaci se znalostmi, co nenaznauje nrst porozumn s vkem dt. Zvry: Upraven dotaznk se ukzal bt cennm nstrojem pro hodnocen kognitivn oblasti znalost s porozumnm PG eskch k zkladnch kol, i kdy nkter otzky vyadovaly dal upesnn. Studie poukzala na oblasti, kde znalosti dt o pohybov aktivit chyb, co naznauje potebu clench intervenc ke zlepen PG od ranho vku.
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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 | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".