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Record W2893726009 · doi:10.11575/prism/33069

Investigating 24-Hour Movement Behaviours of Children and Youth Attending Summer Camps

2018· dissertation· en· W2893726009 on OpenAlexaboutno aff
Eshleen Grewal

Bibliographic record

VenueOpen MIND · 2018
Typedissertation
Languageen
FieldMedicine
TopicObesity, Physical Activity, Diet
Canadian institutionsnot available
Fundersnot available
KeywordsMovement (music)PsychologyGeographyDevelopmental psychologyArt

Abstract

fetched live from OpenAlex

The KiSS UC study (n=224) measured all four movement behaviours from the Canadian 24-Hour Movement Guidelines: light physical activity (LPA), moderate-to-vigorous physical activity (MVPA), sleep, and sedentary behaviour (SB). The study objectives were to determine the: 1) proportion of participants meeting those guidelines, 2) factors associated with meeting the guidelines (sex, age, camp type, ethnicity, number of other children in the household, parent education), and 3) out-of-camp activities engaged in. Garmin vivofits measured LPA and sleep; Garmin heart rate monitors and Actihearts measured MVPA; SB and out-of-camp activities were assessed using questionnaires (CAPL, CPAQ, respectively). A large proportion of participants met the LPA (88%), MVPA (100%), sleep (65%), and SB (78%) guidelines. Age, parent education, sex, and number of other children in the household were significant predictors for sleep and SB. In summary, summer camps may be a setting where each of the Canadian 24-Hour Movement Guidelines can be met.

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)0.001
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 score0.268
Threshold uncertainty score0.533

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.047
GPT teacher head0.332
Teacher spread0.285 · 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

Citations0
Published2018
Admission routes1
Has abstractyes

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