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Record W2282452540 · doi:10.26522/brocked.v24i2.425

Bringing Policy and Practice To the Table: Young Women’s Nutritional Experiences In An Ontario Secondary School

2015· article· en· W2282452540 on OpenAlexaffvenueabout
Sarah A. O. Gray

Bibliographic record

VenueBrock Education Journal · 2015
Typearticle
Languageen
FieldMedicine
TopicObesity, Physical Activity, Diet
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsNegotiationPsychological interventionGovernment (linguistics)Resistance (ecology)PsychologyScale (ratio)Developmental psychologyNursingMedicineSociologySocial scienceGeography

Abstract

fetched live from OpenAlex

In recent years, media, health organizations and researchers have raised concern over the health of Canadian children and adolescents. Stakeholders have called on the government to confront the problem. Schools are seen as an ideal site for developing and implementing large-scale interventions because of the ease of access to large groups of children and adolescents. Within Ontario, new nutrition policies, such as the School Food and Beverage Policy (2011) have been implemented in an attempt to change the current health status of children and adolescents. The purpose of this study was to examine the eating behaviours and nutrition knowledge of young women in an Ontario secondary school. Semi-structured interviews were used to examine the reproduction, negotiation and resistance to the nutrition messages received by young women within the school environment. The interviews revealed the influence of parents, the inability of apply learned knowledge and the ineffectiveness of the school environment.

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)0.002
metaresearch head score (Gemma)0.003
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 score0.063
Threshold uncertainty score0.458

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0320.011
Scholarly communication0.0040.002
Open science0.0010.004
Research integrity0.0020.002
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 head0.025
GPT teacher head0.328
Teacher spread0.303 · 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

Citations6
Published2015
Admission routes3
Has abstractyes

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