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Record W2809641803 · doi:10.15353/cfs-rcea.v5i2.302

Access and affordability of "healthy" foods in northern Manitoba? The need for Indigenous food sovereignty

2018· article· en· W2809641803 on OpenAlex
Mengistu Assefa Wendimu, Annette Aurélie Desmarais, Tabitha Robin

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 Food Studies / La Revue canadienne des études sur l alimentation · 2018
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsIndigenousFood sovereigntyFood securityFood insecurityFocus groupFood systemsEconomic growthGeographySovereigntyEmpirical researchPolitical scienceSocioeconomicsBusinessDevelopment economicsMarketingEconomicsAgriculturePoliticsEcology

Abstract

fetched live from OpenAlex

Despite widespread concerns about household food insecurity experienced by Indigenous peoples, there is limited empirical evidence about the availability and prices of healthy foods in First Nations rural communities located in northern Manitoba, Canada. To fill this research gap, this study examines the availability and affordability of fresh milk, fruits, vegetables, and several other selected food items; investigates the determinants of food prices; and examines the implications of paying higher food prices for individuals and communities in northern Manitoba. The research findings are based on a survey of fifty-two food items conducted in twenty-two communities and six focus group discussions with mothers, service providers, and community leaders. Our research indicates that in addition to limited availability of healthy foods, food prices in First Nations communities were significantly higher than in Winnipeg or non-First Nations urban centers. We conclude by pointing to some policy implications emerging from this research while also signaling the need for a more substantial and profound transformation that includes decolonizing food systems and building Indigenous food sovereignty.

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)0.001
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 score0.484
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0040.001
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 head0.097
GPT teacher head0.358
Teacher spread0.261 · 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