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Record W4391361403 · doi:10.1080/25742981.2024.2311113

A scoping review of K–12 health education in Canada: understanding school stakeholders’ perceptions

2024· review· en· W4391361403 on OpenAlexafffundabout
Lauren Sulz, Daniel B. Robinson, Hayley Morrison, Joshua Read, Ashley Johnson, Lucinda Johnston, Kim Frail

Bibliographic record

VenueCurriculum Studies in Health and Physical Education · 2024
Typereview
Languageen
FieldHealth Professions
TopicSchool Health and Nursing Education
Canadian institutionsQueen's UniversitySt. Francis Xavier UniversityAlberta LibraryUniversity of Alberta
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPerceptionPedagogySociologyPolitical scienceMedical educationPsychologyMedicine

Abstract

fetched live from OpenAlex

A scoping review was conducted, analyzing peer-reviewed literature published between 1995 and 2022, focusing on school stakeholders' perceptions of K-12 health education (HE) in Canada. The results included 37 studies, with articles focused on the perceptions of students, in-service and pre-service teachers, parents, undergraduate students, and health partners/ educational professionals. Using reflexive thematic analysis, three main themes were identified: (a) HE is perceived as a valuable school subject; (b) teachers are not prepared to teach HE; and (c) HE courses are not meeting the needs of students. The outcomes of the review underscore the importance and value of HE as perceived by school stakeholders and highlight the necessity for heightened advocacy efforts to enhance HE at all school levels. The review emphasizes the need for broader consultation and research involving diverse school stakeholder groups in order to promote the advancement of HE in Canadian schools.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.234
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.424
GPT teacher head0.591
Teacher spread0.167 · 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.

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

Citations11
Published2024
Admission routes3
Has abstractyes

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