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Record W3128899096

School-based Physical Activity Interventions in High Schools: The Perceptions of School Stakeholders

2021· article· en· W3128899096 on OpenAlexaff
M. Dubuc, Sylvie Beaudoın, Félix Berrigan, Sylvain Turcotte

Bibliographic record

VenueRevue phénEPS / PHEnex Journal · 2021
Typearticle
Languageen
FieldPsychology
TopicChildren's Physical and Motor Development
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsPsychological interventionContext (archaeology)Focus groupCategorizationPrioritizationPerceptionMedical educationPsychologySocial ecological modelResource (disambiguation)Physical activityMedicineBusinessProcess managementMarketingGeographyComputer science
DOInot available

Abstract

fetched live from OpenAlex

This study aimed to identify the facilitating factors, barriers, needs and priorities of high school stakeholders in relation to the implementation of physical activity interventions targeting students in school context. A total of 66 school stakeholders participated in individual semi-structured interviews. Thereafter, 23 of these 66 participants participated in focus groups where they needed to reach consensus on the prioritization of their community's needs. The data collected were then classified according to the five levels of factors of the socio-ecological model. Results indicate that most of the facilitating factors, barriers, needs, and priorities identified was related to the institutional level. Moreover, our results show that the needs reported are specific to each school environment. This study resulted in the categorization of facilitating factors, barriers, needs and priorities, which becomes an essential resource in the development of interventions aimed at encouraging the practice of physical activities by students in school context.   Keywords: school context; physically active lifestyle; socio-ecological model; Facilitating factors; barriers.

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)0.007
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0020.001
Scholarly communication0.0020.002
Open science0.0010.003
Research integrity0.0010.001
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 head0.089
GPT teacher head0.340
Teacher spread0.251 · 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 designQualitative
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

Citations1
Published2021
Admission routes1
Has abstractyes

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Same venueRevue phénEPS / PHEnex JournalSame topicChildren's Physical and Motor DevelopmentFrench-language works237,207