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Record W2124345723 · doi:10.1177/1524839908329118

Process Evaluation of Baltimore Healthy Stores: A Pilot Health Intervention Program With Supermarkets and Corner Stores in Baltimore City

2009· article· en· W2124345723 on OpenAlexaff
Joel Gittelsohn, Sonali Suratkar, Hee‐Jung Song, Suzanne Sacher, Radha Rajan, Irit R. Rasooly, Erin Bednarek, Sangita Sharma, Jean Anliker

Bibliographic record

VenueHealth Promotion Practice · 2009
Typearticle
Languageen
FieldMedicine
TopicObesity, Physical Activity, Diet
Canadian institutionsCentre for Family Medicine
FundersNational Institute of Nursing Research
KeywordsLow incomeHealthy foodIntervention (counseling)Supplemental Nutrition Assistance ProgramEnvironmental healthFidelityGerontologyBusinessStock (firearms)Food Stamp ProgramPoint of saleMedicineMarketingAfrican americanSocioeconomicsEngineeringFood stampsGeographyNursingEconomicsComputer scienceWelfareFood scienceFood securitySociologyFood insecurity

Abstract

fetched live from OpenAlex

Reduced access to affordable healthy foods is linked to higher rates of chronic diseases in low-income urban settings. The authors conduct a feasibility study of an environmental intervention (Baltimore Healthy Stores) in seven corner stores owned by Korean Americans and two supermarkets in low-income East Baltimore. The goal is to increase the availability of healthy food options and to promote them at the point of purchase. The process evaluation is conducted largely by external evaluators. Participating stores stock promoted foods, and print materials are displayed with moderate to high fidelity. Interactive consumer taste tests are implemented with high reach and dose. Materials developed specifically for Korean American corner store owners are implemented with moderate to high fidelity and dose. Results indicate that small food store-based intervention programs are feasible to implement and are a viable means of increasing healthy food availability and a good location for point-of-purchase promotions in low-income urban settings.

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)0.006
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.012
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.088
GPT teacher head0.447
Teacher spread0.359 · 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 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

Citations121
Published2009
Admission routes1
Has abstractyes

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