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Record W2482547873 · doi:10.1007/s13142-016-0428-2

Physical activity interventions to promote positive youth development among indigenous youth: a RE-AIM review

2016· review· en· W2482547873 on OpenAlexafffund
Colin Baillie, Karla I. Galavíz, Kevin Emiry, Mark W. Bruner, Brenda Bruner, Lucie Lévesque

Bibliographic record

VenueTranslational Behavioral Medicine · 2016
Typereview
Languageen
FieldSocial Sciences
TopicYouth Development and Social Support
Canadian institutionsNipissing UniversityQueen's University
FundersInstitute of Aboriginal Peoples HealthCanadian Institutes of Health ResearchHealth Canada
KeywordsIndigenousPsychological interventionHealth psychologyPositive Youth DevelopmentCross-cultural psychologyPhysical activityPsychologyPublic healthGerontologyClinical psychologyMedicineDevelopmental psychologySocial psychologyPsychiatryPhysical therapyNursingBiology

Abstract

fetched live from OpenAlex

Physical activity (PA) programs are a promising strategy to promote positive youth development (PYD). It is not known if published reports provide sufficient information to promote the implementation of effective PYD in indigenous youth. The purpose of this study was to assess the extent to which published literature on PA programs that promote PYD in indigenous youth report on RE-AIM (reach, effectiveness, adoption, implementation, maintenance) indicators. A systematic literature search was conducted to identify articles reporting on PA programs that promote PYD in indigenous youth. The search yielded 8084 articles. A validated 21-item RE-AIM abstraction tool assessing internal and external validity factors was used to extract data from 10 articles meeting eligibility criteria. The most commonly reported dimensions were effectiveness (73 %), adoption (48 %), and maintenance (43 %). Reach (34 %) and implementation (30 %) were less often reported. Published research provides insufficient information to inform real-world implementation of PA programs to promote PYD in indigenous youth.

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)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.006
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.013
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.004
Bibliometrics0.0060.004
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.229
GPT teacher head0.468
Teacher spread0.239 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations21
Published2016
Admission routes2
Has abstractyes

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