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Record W4234238704 · doi:10.3138/cpp.38.4.497

The Relationship between Food Banks and Household Food Insecurity among Low-Income Toronto Families

2012· article· fr· W4234238704 on OpenAlex
Rachel Loopstra, Valerie Tarasuk

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.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCanadian Public Policy · 2012
Typearticle
Languagefr
FieldHealth Professions
TopicFood Security and Health in Diverse Populations
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPolitical scienceFood insecurityHumanitiesWelfare economicsFood securityEconomicsPhilosophyGeography

Abstract

fetched live from OpenAlex

Étant donné l’absence de politiques publiques précises face au problème de l’insécurité alimentaire des ménages au Canada, les banques alimentaires restent la solution la plus courante, malgré les questions qui se posent au sujet de leur efficacité. En effet, parmi 371 familles à faible revenu de Toronto que nous avons interviewées dans le cadre de cette étude, 75 % avaient vécu de l’insécurité alimentaire, mais seulement 23 % avaient eu recours à une banque alimentaire; et, pour la plupart des utilisateurs de banque alimentaire, l’insécurité alimentaire était un problème chronique grave. Parmi les raisons qui font que les familles vivant de l’insécurité alimentaire n’ont pas recours à une banque alimentaire, notons une certaine réticence à demander la charité, mais aussi un accès difficile à ces banques pour diverses raisons. Ces résultats remettent en question le rôle que les gouvernements fédéral, provinciaux et territoriaux semblent donner aux organismes caritatifs comme moyens de réduire l’insécurité alimentaire, et soulignent la nécessité de politiques publiques claires en cette matière.

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)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.447
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.001
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0010.002
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 head0.221
GPT teacher head0.384
Teacher spread0.164 · 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