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Record W6986602930

Process evaluation of the school meals program as part of farm to fork project in St. Kitts

2014· dissertation· en· W6986602930 on OpenAlexafffund

Bibliographic record

VenueeScholarship@McGill (McGill) · 2014
Typedissertation
Languageen
FieldPsychology
TopicBody Image and Dysmorphia Studies
Canadian institutionsMcGill University
FundersMcGill University
KeywordsRevenueSustainabilityIntervention (counseling)School mealControl (management)Fork (system call)HospitalityFood wasteQuality (philosophy)
DOInot available

Abstract

fetched live from OpenAlex

INTRODUCTION: The goal of the CARICOM project “From Farm to Fork” is to encourage smallholder farmers to increase revenues by producing fruits, vegetables and local meat (goat) in quantities suitable for the School Meals Center to improve the food offerings for the children of the school district. This study evaluates the strengths and weaknesses of the ‘Farm to Fork’ project in St. Kitts in its current state, and identifies potential drivers and barriers which contribute to the sustainability of the intervention. METHODS: St Kitts has 17 elementary schools which provide a daily lunch to approximately 3200 children. Four schools made changes to their menu and the others served as control schools. This research project evaluates and compares the intervention schools and the control schools in terms of cost, nutritional value provided and food waste in order to measure the impact the new menu has had on the school budget, its success in providing healthier foods to the children and how many children are consuming the options provided. RESULTS: The intervention schools provide more protein, potassium and vitamin C (p<0.05) when compared to the control schools. Calcium is low in both control and intervention schools. The intervention meals are also more costly than the control school meals (p<0.05), but servings of meat drive up the cost of the intervention meals rather than the addition of fruits and vegetables. CONCLUSION: The School Meals Center has made large changes to their food offerings and improved nutrients offered to children. Adequate calcium intake is still a challenge due to the limited consumption of dairy products. Adding extra meat is not needed and needs to be curbed. This may further contribute to cost control in the intervention meals.

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)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.931
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.048
GPT teacher head0.372
Teacher spread0.325 · 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 designOther design
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

Citations0
Published2014
Admission routes2
Has abstractyes

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