MétaCan
Menu
Back to cohort
Record W2171614934 · doi:10.1093/heapro/dau080

Should Canadian health promoters support a food stamp-style program to address food insecurity?

2014· article· en· W2171614934 on OpenAlexaffabout
Elaine Power, Melissa H. Little, Patricia Collins

Bibliographic record

VenueHealth Promotion International · 2014
Typearticle
Languageen
FieldHealth Professions
TopicFood Security and Health in Diverse Populations
Canadian institutionsQueen's University
Fundersnot available
KeywordsFood Stamp ProgramPovertyFood insecurityFood stampsEnvironmental healthEconomic growthPolitical scienceBusinessFood securityMedicineAgricultureEconomicsGeographyLawWelfare

Abstract

fetched live from OpenAlex

Food insecurity is an urgent public health problem in Canada, affecting 4 million Canadians in 2012, including 1.15 million children, and associated with significant health concerns. With little political will to address this significant policy issue, it has been suggested that perhaps it is time for Canada to try a food stamp-style program. Such a program could reduce rates of food insecurity and improve the nutritional health of low-income Canadians. In this article, we explore the history of the US food stamp program; the key impetus of which was to support farmers and agricultural interests, not to look after the needs of people living in poverty. Though the US program has moved away from its roots, its history has had a lasting legacy, cementing an understanding of the problem as one of lack of food, not lack of income. While the contemporary food stamp program, now called Supplemental Nutrition Assistance Program (SNAP), reduces rates of poverty and food insecurity, food insecurity rates in the USA are significantly higher than those in Canada, suggesting a food stamp-style program per se will not eliminate the problem of food insecurity. Moreover, a food stamp-style program is inherently paternalistic and would create harm by reducing the autonomy of participants and generating stigma, which in itself has adverse health effects. Consequently, it is ethically problematic for health promoters to advocate for such a program, even if it could improve diet quality.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.835
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.264
GPT teacher head0.494
Teacher spread0.231 · 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; both teacher heads agree on what is shown here.

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
Published2014
Admission routes2
Has abstractyes

Explore more

Same venueHealth Promotion InternationalSame topicFood Security and Health in Diverse PopulationsFrench-language works237,207