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Record W7133541738 · doi:10.48336/234

Understanding adolescent physical activity participation. A program evaluation of a body positive resistance training program

2024· other· en· W7133541738 on OpenAlexaboutno aff

Bibliographic record

VenueMemorial University Research Repository (Memorial University) · 2024
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsPhysical activityHealth promotionResistance (ecology)Physical fitnessProgram evaluationPhysical activity levelHealth behaviorResistance trainingSedentary lifestylePhysical exercise

Abstract

fetched live from OpenAlex

The increase of physical inactivity and sedentary behaviour among adolescents is alarming. With decreasing physical activity rates among Canadian adolescents there is a major concern to their overall health and wellbeing. Regular physical activity has been shown to have many health benefits for adolescents; therefore, it is important to understand current barriers and motivators influencing adolescents’ participation in physical activity. The primary purpose of this study was to evaluate a program designed to increase physical activity participation for adolescents at risk for chronic illness. Three group interviews were conducted with thirteen adolescents who participated in a 10-week chronic disease prevention program that included resistance training in a body positive environment. Additionally, I maintained a reflective journal documenting aspects of the research process and observations from the weekly sessions. Through providing a safe physical activity program, this study assessed the effects of a body positive approach to physical activity with adolescents. This thesis provides an understanding of barriers and motivators that adolescents experience in relation to physical activity participation, aiding in future program design.

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)0.005
metaresearch head score (Gemma)0.005
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
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 head0.210
GPT teacher head0.384
Teacher spread0.174 · 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
Published2024
Admission routes1
Has abstractyes

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