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The LiiNK Project®: Comparisons of Recess, Physical Activity, and Positive Emotional States in Grades K-2 Children

2017· article· en· W2618212913 on OpenAlexvenueno aff
Laura E. Clark, Debbie Rhea

Bibliographic record

VenueInternational Journal of Child Health and Nutrition · 2017
Typearticle
Languageen
FieldPsychology
TopicChildren's Physical and Motor Development
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineDevelopmental psychology

Abstract

fetched live from OpenAlex

The purpose of this study was to explore the physical activity patterns and emotional states differences among elementary school students at two private schools with differently structured school days. Students at one school received the LiiNK Project® pilot intervention, which included an additional two 15-minute recess breaks (unstructured outdoor play) throughout the school day and a 15-minute character development lesson three to four times weekly. Students at the comparison school received only one 30-minute recess daily and no additional character development curriculum. Grades K-2 children from two schools (N=262) wore pedometers for one school week and were observed for emotional expressions during recess. A univariate ANOVA revealed that intervention school students took significantly more steps on average than comparison school students, F(1, 260)=0.784, p<0.0001. Significant interactions were found for average number of steps between school and grade, F(2, 250)=4.298, p<0.05, school and gender, F(1, 250)=4.660, p<0.05, and grade and gender, F(2, 250)=6.919, p<0.001. Another univariate ANOVA revealed that during recess, intervention school students displayed significantly higher percentages of positive emotions than comparison school children, F(1, 52)=15.332, p<0.0001 and significantly lower percentages of not-positive emotions than comparison school students, F(1, 52)=13.900, p<0.0001. Overall, K-2 students who received multiple recesses and a character curriculum called Positive Action were significantly more active during the school day and displayed higher percentages of positive emotions on the playground than comparison school students.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.516
Threshold uncertainty score0.251

Codex and Gemma teacher scores by category

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

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 head0.023
GPT teacher head0.369
Teacher spread0.346 · 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 teacher head, 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

Citations7
Published2017
Admission routes1
Has abstractyes

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