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Record W576770140 · doi:10.5860/choice.193261

Local food environments: food access in America

2015· article· en· W576770140 on OpenAlexaboutno aff

Bibliographic record

VenueChoice Reviews Online · 2015
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicOrganic Food and Agriculture
Canadian institutionsnot available
Fundersnot available
KeywordsFood processingFood systemsFood industryAgricultureConsumption (sociology)GeographyBusinessPolitical scienceSociologyFood securitySocial science

Abstract

fetched live from OpenAlex

Introduction Kimberly B. Morland Defining Local Food Environments Food Retailing in the United States Food Consumption Trends in the United States Conceptual Models and Local Food Environments References U.S. Agricultural Policies and the U.S. Food Industry: Production to Retail Arlene Spark U.S. Government Oversight of Agriculture U.S. Farm Bill Overview and History of the Farm Bill U.S. Food Industry References Environmental Injustice Connects Local Food Environments with Global Food Production Steve Wing Environmental Injustice and Industrial Food Production Industrial Farm Animal Production Economic, Social, and Political Impacts of Industrial Animal Production References Geography of Local Food Environments: People and Places Kimberly B. Morland Environmental versus Individual Causes of Disease Racial Segregation in the United States Segregation and Area Resources Developing a Conceptual Model Measurement of Geographic Boundaries of Local Food Environments Measurement of Food Availability Evidence of Disparities in Access to Healthy Foods in the United States (1997-2013) References Local Food Environments and Dietary Intake Barbara A. Laraia, Bethany Hendrickson, and Yun T. Zhang Diet and Health Measuring Diet for Local Food Environment Research Food Environment Measures and Methods Association Between Diet and Food Prices and Quality School Environment External School Environment Summary and Conclusions References Local Food Environments and Diet-Related Health Outcomes: A Systematic Review of Local Food Environments, Body Weight, and Other Diet-Related Health Outcomes Shannon N. Zenk, Esther Thatcher, Margarita Reina, and Angela Odoms-Young Causal Conceptual Model Study Selection Evidence for Body Weight by Age Evidence for Other Health Outcomes Discussion Conclusions References Measurement and Analytical Issues Involved in the Estimation of the Effects of Local Food Environments on Health Behaviors and Health Outcomes Latetia V. Moore and Ana V. Diez-Roux Conceptual Models Study Design Measurement of the Local Food Environment Analytical Issues References Local Food Environments Outside of the United States-A Look to the North: Examining Food Environments in Canada Jennifer Black Introduction to Local Food Environments in Canada Local Food Environment Research in Canada Food Retailing in Canada Summary of Insights from the Canadian Literature Conclusions Appendix References State-Level Interventions: Pennsylvania's Fresh Food Financing Initiative Yael Lehmann, April White, Jordan Tucker, and Allison Karpyn Importance of Supermarkets Supermarket Campaign in Pennsylvania Creation and Implementation of Pennsylvania's Fresh Food Financing Initiative Impacts of Pennsylvania's Fresh Food Financing Initiative Scaling Up: Replication of the Food Trust Framework and Pennsylvania's Fresh Food Financing Initiative Comprehensive Approach to Improving Food Access References Ecological Approaches to Creating Healthy Local Food Environments in the United States: Push and Pull Forces Carol M. Devine and Jennifer L. Wilkins Objectives Ecological Framework: Multiple Levels of Action Approaches to Increasing Community Food Access Surveillance and Research Needs Going Further References Index

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.957
Threshold uncertainty score0.257

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.073
GPT teacher head0.284
Teacher spread0.212 · 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 designNot applicable
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

Citations23
Published2015
Admission routes1
Has abstractyes

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