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Record W2118027335 · doi:10.14574/ojrnhc.v5i2.179

Understanding Physical Activity Patterns of Rural Canadian Children

2005· article· en· W2118027335 on OpenAlexaffabout
Hope Bilinski, Karen M. Semchuk, Karen Chad

Bibliographic record

VenueOnline Journal of Rural Nursing and Health Care · 2005
Typearticle
Languageen
FieldMedicine
TopicObesity, Physical Activity, Diet
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsPhysical activityGuidelinePopulationPsychologyEnvironmental healthMedicinePhysical therapy

Abstract

fetched live from OpenAlex

The purpose of this cross sectional study was to explore the physical activity patterns of a group of rural children living in Saskatchewan, Canada. Of the 103 participants (aged 8-13 years), 53.7% met the national guideline for the amount of physical activity required to achieve optimal health benefits. Children’s involvement in out of school organized physical activities, (e.g. baseball, soccer, dance) was associated with whether or not they met the guideline. There was no statistically significant association between the children’s physical activity and their participation in physical activities in school, television watching behavior, or their parents’ educational levels. Results suggest that many rural children in Saskatchewan are not physically active enough for health benefits and several factors can potentially influence the physical activity of this group of children. Further exploration of such factors may assist families, communities, schools, and health professionals in promoting physical activity in this population.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.044
GPT teacher head0.356
Teacher spread0.311 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations9
Published2005
Admission routes2
Has abstractyes

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