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Record W2004791794 · doi:10.3148/67.2.2006.104

<i>Nutritional Quality and Price</i> Of University Food Bank Hampers

2006· article· en· W2004791794 on OpenAlexaffvenueabout
Noreen D. Willows, Vivian Au

Bibliographic record

VenueCanadian Journal of Dietetic Practice and Research · 2006
Typearticle
Languageen
FieldHealth Professions
TopicFood Security and Health in Diverse Populations
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsFood insecurityQuality (philosophy)Environmental healthFood supplyHealthy foodFood qualityMedicineBusinessMarketingFood sciencePsychologyFood securityAgricultural economicsEconomicsGeographyBiologyAgriculture

Abstract

fetched live from OpenAlex

PURPOSE: Food insecurity appears to be a growing problem for post-secondary students, but little study has been made of the 51 campus-based food banks that exist. In 2003-04, the University of Alberta Campus Food Bank (CFB) distributed hampers intended to supply four days of food to 630 unique clients, of whom 207 (32.8%) were children. The nutritional adequacy of food hampers and cost saving to students were evaluated in the current study. METHODS: Hampers prepared for one adult, and for one adult with one child, were nutritionally evaluated and scored for number of servings according to Canada's Food Guide to Healthy Eating. Two types of hampers were evaluated: those containing only non-perishable items, and those containing non-perishable and perishable items. Hamper contents were priced to establish the cost saving to students. RESULTS: The study revealed that a student with one child would receive up to 58.02 Canadian dollars worth of food in a hamper that contained perishable items. All hampers met the recommended minimum servings for each food group, but were very low in fat and protein from animal sources. CONCLUSIONS: Because students can obtain hampers only twice each month, the CFB is not the solution to food insecurity on campus. Awareness of the issue of post-secondary student food insecurity needs to be raised.

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)0.005
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.461
Threshold uncertainty score0.989

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.320
GPT teacher head0.507
Teacher spread0.187 · 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

Citations43
Published2006
Admission routes3
Has abstractyes

Explore more

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