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Record W2556869516 · doi:10.1177/1059840516677825

What Can Secondary School Students Teach Educators and School Nurses About Student Engagement in Health Promotion? A Scoping Review

2016· review· en· W2556869516 on OpenAlexafffund
Amy Beck, Sandra M. Reilly

Bibliographic record

VenueThe Journal of School Nursing · 2016
Typereview
Languageen
FieldHealth Professions
TopicSchool Health and Nursing Education
Canadian institutionsUniversity of Calgary
FundersUniversity of Calgary
KeywordsHealth promotionStudent engagementPromotion (chess)Inclusion (mineral)Community engagementPsychologyPedagogyPublic relationsMedical educationPolitical scienceMedicinePublic healthNursingSocial psychologyPolitics

Abstract

fetched live from OpenAlex

Student engagement represents a critical component of a comprehensive school health (CSH) approach to health promotion. Nevertheless, questions remain about its implementation. This scoping review updates the field of student engagement in health promotion. Of the 1,388 located articles, 14 qualify for inclusion in this study. An analysis reveals four themes. CSH programs that incorporate student engagement promote a sense of belonging to a community, encourage meaningful involvement, give voice to student concerns, and advance supportive relationships. This study finds a lack of research regarding student engagement in health promotion but confirms that student participation in CSH initiatives contributes to a sense of ownership. Consequently, we can infer that student ownership of health promotion takes place through their meaningful engagement and can effect social change.

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)0.009
metaresearch head score (Gemma)0.032
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.009
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.032
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0080.006
Science and technology studies0.0010.001
Scholarly communication0.0030.003
Open science0.0020.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.135
GPT teacher head0.567
Teacher spread0.432 · 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

Citations27
Published2016
Admission routes2
Has abstractyes

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