MétaCan
Menu
Back to cohort
Record W4415679720 · doi:10.1080/19320248.2025.2577183

Process Evaluation of an Intervention to Increase Staple Food Access in SNAP-Authorized Convenience Stores in Rural Appalachian Communities with Low Incomes

2025· article· en· W4415679720 on OpenAlex
Cori Sweet, Adeline Grier-Welch, Christopher Sneed, Karen Franck, Linda Bower, Janie Burney, Elizabeth Anderson Steeves

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Hunger & Environmental Nutrition · 2025
Typearticle
Languageen
FieldHealth Professions
TopicFood Security and Health in Diverse Populations
Canadian institutionsImpact
FundersRobert Wood Johnson Foundation
KeywordsIntervention (counseling)Food insecurityProcess (computing)Low incomeRural areaAppalachiaStaple foodHealthy food

Abstract

fetched live from OpenAlex

The Shop Smart Tennessee (SSTN) intervention was implemented in convenience stores in rural Appalachian communities with low incomes and aimed to increase access to and demand for staple foods/beverages. SSTN process evaluation metrics (reach, dose delivered, fidelity) assessed program implementation. This study found high-quality implementation for interventions related to increasing stock of healthier items and variable implementation for interventions related to increasing demand. Social media and text messaging interventions had the lowest quality implementation, offering opportunities for improvement in these areas. Key partnerships and regular review of process measures allowed researchers to enhance successful project delivery throughout the study.

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.

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)0.002
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.074
Threshold uncertainty score0.529

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.073
GPT teacher head0.453
Teacher spread0.381 · 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