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Record W2198075301 · doi:10.3148/64.4.2003.208

Issues in Implementing <i>School Nutrition Policies</i>

2003· article· en· W2198075301 on OpenAlexaffvenue
Mary McKenna

Bibliographic record

VenueCanadian Journal of Dietetic Practice and Research · 2003
Typearticle
Languageen
FieldHealth Professions
TopicFood Security and Health in Diverse Populations
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsWork (physics)Nutrition EducationProfit (economics)Food serviceFood policyFood choiceMedicineMedical educationPublic relationsPsychologyNursingPolitical scienceBusinessMarketingGerontologyEconomicsAgricultureFood security

Abstract

fetched live from OpenAlex

The implementation of school nutrition policies poses a challenge to dietitians as they work with schools to increase the availability of nutritious foods. An analysis of the implementation of the Food and Nutrition Policy for New Brunswick Schools, proclaimed by the department of education in 1991, revealed four factors that influenced implementation: selling food for profit, student choice, interpretation of the policy, and the approach to implementation. From 1997 to 1999, data were obtained from 50 participants at the provincial, district, and school levels through semi-structured interviews; supporting evidence was obtained through a review of pertinent documents. The policy goal was to develop good eating habits among schoolchildren. The policy objective to have all food services follow national guidelines for healthy eating was so controversial that implementation was inconsistent and had little impact on school foods. Opponents objected when the sale of certain foods was curtailed, felt the policy limited student choice, were unsure how to interpret it, and resented the department's top-down approach. Dietitians, who had minimal involvement with the New Brunswick policy, need to consider carefully how to work with educational agencies to combine support and pressure to foster the capacity and willingness of schools to implement nutrition policies.

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)0.008
metaresearch head score (Gemma)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.595
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.301
GPT teacher head0.575
Teacher spread0.273 · 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
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

Citations44
Published2003
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Journal of Dietetic Practice and ResearchSame topicFood Security and Health in Diverse PopulationsFrench-language works237,207