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Needs for food security from the standpoint of Canadian households participating and not participating in community food programmes

2010· article· en· W1792533392 on OpenAlex
Anne‐Marie Hamelin, Céline Mercier, Annie Bédard

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueInternational Journal of Consumer Studies · 2010
Typearticle
Languageen
FieldHealth Professions
TopicFood Security and Health in Diverse Populations
Canadian institutionsUniversité de MontréalUniversité Laval
Fundersnot available
KeywordsFood securityFood insecurityContext (archaeology)BusinessQuality (philosophy)MarketingEconomic growthEconomicsGeographyAgriculture

Abstract

fetched live from OpenAlex

Abstract In a context where food assistance continues to dominate talks on food security, this study was undertaken to refocus the debate on households' needs. Our objective was to examine the food security experience and needs of food‐insecure households from the standpoint of those participating in community programmes for food security as well as those not doing so. Semi‐structured individual interviews were conducted with a purposive sample of 55 food‐insecure households in Quebec City, Canada. Transcriptions were subjected to content analysis. The results revealed distinct food insecurity situations. The interviewees' accounts show that households participating in community food security programmes and non‐participating households did not have the same profile of food insecurity risks and capacity to cope with those risks. Nevertheless, three main categories of needs emerged from all the households: needs specific to food security (particularly good quality diet), needs regarding the conditions necessary for achieving food security (especially financial access to food) and related needs. Food insecurity was seen as involving a cluster of problems. The results reinforce the necessity for responses that are not uniform but rather situation‐specific. Clearly, households are demanding more than food for survival: they need a set of conditions that will ensure them regular and sustainable access to a good quality diet.

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)0.003
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 score0.742
Threshold uncertainty score0.972

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
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 head0.395
GPT teacher head0.498
Teacher spread0.103 · 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