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Record W1964954526 · doi:10.5539/jel.v1n1p129

Health Curriculum Policy Analysis as a Catalyst for Educational Change in Canada

2012· article· en· W1964954526 on OpenAlexaffvenueabout
Dianne Thomson, Lorayne Robertson

Bibliographic record

VenueJournal of Education and Learning · 2012
Typearticle
Languageen
FieldHealth Professions
TopicSchool Health and Nursing Education
Canadian institutionsOntario Tech University
Fundersnot available
KeywordsCurriculumHealth policyHealth promotionPolicy analysisHealth careCurriculum developmentPolitical scienceHealth educationCoherence (philosophical gambling strategy)Health literacyPedagogyPsychologyPublic relationsSociologyPublic administration

Abstract

fetched live from OpenAlex

Health curriculum policy development in Canada is a provincial and territorial responsibility that addresses the national agenda of health promotion. Each curriculum policy reflects philosophies about health. This study investigates the health education models found in the research literature and compares them with those used in Health curriculum policies for Grades 4 – 9 across Canada using a policy analysis framework developed by the authors. This study is also intended to establish the degree of curriculum coherence (Beane, 1995) and knowledge mobilization (Levin, 2008) around health priorities for children and adolescents. Findings show inconsistencies among policies and between philosophies and student outcomes. The most common policy model is that of interactive level of health literacy, positing students as informed recipients of health care and responsible decision makers. This analysis is offered as a catalyst for national dialogue on health education policy coherence.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.392
Threshold uncertainty score0.982

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
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 head0.056
GPT teacher head0.494
Teacher spread0.438 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations7
Published2012
Admission routes3
Has abstractyes

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