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Record W1968087125 · doi:10.1108/bfj-02-2014-0077

Food banks, welfare, and food insecurity in Canada

2014· article· en· W1968087125 on OpenAlexaffabout
Valerie Tarasuk, Naomi Dachner, Rachel Loopstra

Bibliographic record

VenueBritish Food Journal · 2014
Typearticle
Languageen
FieldHealth Professions
TopicFood Security and Health in Diverse Populations
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsFood securityBusinessWelfarePopulationFood insecuritySupplemental Nutrition Assistance ProgramEconomic growthSocial WelfareEconomicsPolitical scienceAgricultureGeographyEnvironmental healthMedicine

Abstract

fetched live from OpenAlex

Purpose – Similar to the recent emergence of food banks in other affluent nations, the genesis and ultimate entrenchment of food banks in Canada has been tightly intertwined with the dismantling of the welfare state. Through an examination of Canadian data, the authors elucidate the implications of entrenching voluntary, extra-governmental, charitable food assistance programs as an adjunct to publicly funded social assistance programs. The paper aims to discuss these issues. Design/methodology/approach – Publicly available food bank reports, population health survey data, and the results of a study of low-income families in Toronto are reviewed to examine the food security status of social assistance recipients and their use of food banks. Findings – In 2012, 70 percent of households in Canada who were reliant on social assistance were food insecure. Social assistance recipients comprise at least half of food bank clientele and have done so for as long as this information has been tracked, but the assistance provided by food banks appears insufficient to alter households’ food insecurity. Although food banks currently distribute over 200 million pounds of food annually, the scale of their operations pales in comparison to the food needs of those who seek their help. Originality/value – In the 30 years since food banks began in Canada, there has been considerable research into this response, as well as extensive population monitoring of food insecurity. Canada provides an informative case study of an affluent country's long-term dependency on charitable food assistance and the impact this has on the food insecurity of those reliant on social assistance programs.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.451
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.064
GPT teacher head0.336
Teacher spread0.272 · 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.

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

Citations139
Published2014
Admission routes2
Has abstractyes

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