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Record W2117119465 · doi:10.5539/jel.v3n2p135

The Healthy School Approach: Different Perspectives of Students and Educators

2014· article· en· W2117119465 on OpenAlexaffvenueabout
Marie-Claude Rivard, Rollande Deslandes

Bibliographic record

VenueJournal of Education and Learning · 2014
Typearticle
Languageen
FieldHealth Professions
TopicSchool Health and Nursing Education
Canadian institutionsUniversité du Québec à Trois-Rivières
Fundersnot available
KeywordsDisadvantagedSituatedFocus groupHealth promotionQualitative researchContext (archaeology)Health educatorsPsychologyPedagogyHealth educationPerceptionMedical educationSociologyPublic healthMedicineSocial scienceNursingPolitical scienceGeography

Abstract

fetched live from OpenAlex

The issue of health occupies a central place in the official texts on education. In Quebec, the Healthy SchoolApproach (HSA), situated at the crossroads of education and health, stands out for its comprehensive andintegrated health promotion in schools. This qualitative study aims to describe the perceptions and involvement of19 participants (students and educators) on health issues within the context of the HSA in a low socioeconomicschool in Quebec. The use of focus groups revealed that the participants interviewed generally associate healthwith lifestyle, particularly physical activity and nutrition, while the educators demonstrate their involvement in adifferentiated manner. The importance of a shared vision of health among students and educators in the pursuitof concerted and complementary health education in disadvantaged environments is highlighted.

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)0.011
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.052
Threshold uncertainty score0.104

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.009
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0180.016
Scholarly communication0.0160.007
Open science0.0020.011
Research integrity0.0050.009
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 head0.043
GPT teacher head0.461
Teacher spread0.418 · 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 designQualitative
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

Citations1
Published2014
Admission routes3
Has abstractyes

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