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Record W4415836125 · doi:10.1108/he-07-2025-0119

Health education teachers' views on supports and barriers to health education programs

2025· article· en· W4415836125 on OpenAlexafffundabout
Hayley Morrison, Lauren Sulz, Daniel B. Robinson, Esther W. Kiama

Bibliographic record

VenueHealth Education · 2025
Typearticle
Languageen
FieldHealth Professions
TopicSchool Health and Nursing Education
Canadian institutionsSt. Francis Xavier UniversityUniversity of Alberta
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsThematic analysisReflexivityHealth educationScale (ratio)Resource (disambiguation)Value (mathematics)Professional developmentHealth educators

Abstract

fetched live from OpenAlex

Purpose Health education (HE) is an integral component of supporting students' overall well-being. However, teachers have identified concerns related to teaching HE. To understand these concerns, this research examined multilevel supports and barriers to the implementation of HE. Design/methodology/approach Data were collected via an online survey (open-ended and closed-Likert scale questions) from 120 Canadian HE teachers. Findings Descriptive statistics analysis identified school administration, timetable/scheduling of HE, funding, resource availability, professional development opportunities, preparation time available, curricular preparation for other subjects, as both supports and barriers. Reflexive thematic analysis, on open-ended comments, determined supports and barriers on: (1) “how” HE is taught, (2) limited space or (home)room for HE and (3) unbalanced priority and value scale of school curricula. Originality/value Drawing on ecological systems theory and comprehensive school health frameworks, we offer insight into how existing barriers can be addressed and how existing support might inform future advocacy efforts to strengthen HE in 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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.481
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0040.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.062
GPT teacher head0.521
Teacher spread0.459 · 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 designNot applicable
Domainnot available
GenreCommentary

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

Citations2
Published2025
Admission routes3
Has abstractyes

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