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Record W2588215187 · doi:10.1177/0840470416674963

Retail food reform

2017· article· en· W2588215187 on OpenAlexafffundabout
Laurie Dojeiji, Andra Taylor, Cholly Boland, Carolyn Brennan, Randy Penney

Bibliographic record

VenueHealthcare Management Forum · 2017
Typearticle
Languageen
FieldMedicine
TopicObesity, Physical Activity, Diet
Canadian institutionsVictoria HospitalQueensway-Carleton Hospital
FundersObesity CanadaChamplain Local Health Integration NetworkUniversity of Ottawa
KeywordsFranchiseCafeteriaBusinessMarketingProduct (mathematics)Plan (archaeology)Public relationsNursingMedicinePolitical science

Abstract

fetched live from OpenAlex

Hospital leaders in Eastern Ontario, Canada, have acknowledged the critical role of food to health and the need for progressive change that goes beyond personal responsibility paradigms. The Healthy Foods in Champlain Hospitals program aims to create supportive, healthy nutrition environments in hospital retail food settings. Twenty independent hospital corporations have collectively initiated a plan to transition cafeteria, vending, franchise, and volunteer operations towards healthier offerings. Hospitals are actively implementing a set of progressively phased, evidence-based nutrition criteria, which cover food and beverage categories, preparation methods, product placement, and provision of nutrition information. Implementation strategies and successes, as well as challenges and limitations, are discussed.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.531
Threshold uncertainty score0.712

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0000.001
Research integrity0.0000.000
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 head0.042
GPT teacher head0.318
Teacher spread0.276 · 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

Citations8
Published2017
Admission routes3
Has abstractyes

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