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Tackling food security issues in indigenous communities in Canada: The Manitoba experience

2012· article· en· W2136008907 on OpenAlexaffabout
Paul Fieldhouse, Shirley Thompson

Bibliographic record

VenueNutrition & Dietetics · 2012
Typearticle
Languageen
FieldHealth Professions
TopicFood Security and Health in Diverse Populations
Canadian institutionsUniversity of ManitobaGovernment of Manitoba
Fundersnot available
KeywordsFood securityIndigenousMainstreamGovernment (linguistics)Promotion (chess)Food insecurityPolitical scienceFood systemsBusinessHealthy foodEconomic growthEnvironmental healthMedicineGeographyEconomicsPoliticsAgricultureEcology

Abstract

fetched live from OpenAlex

Abstract Aims: The promotion of healthy living and chronic disease prevention are predicated on the ability of individuals and communities to make healthy choices. Having access to nutritious affordable food is one of the conditions required to make such choices possible but one that is too often not available, especially to families in remote regions of Canada. The present paper reviews food security issues as they pertain to indigenous communities, particularly in northern Manitoba, and describes community and government approaches to tackling food insecurity. Method: A narrative review was formed drawing on international literature and Canadian research and practice. Results: Strategies such as those described above have the potential to significantly enhance access to affordable, nutritious food in Northern Communities thereby improving food security, healthy living and preventing chronic disease. Conclusions: Community‐based action combined with structural changes and a supportive policy environment hold out the prospect of changing the conditions of food access that underlie the ultimate success of healthy living and chronic disease prevention efforts. While there appears to be a growing interest in local food production and the reintroduction of traditional foods to the diet, an important key to successful change is the engagement of youth, whose food habits and preferences have been heavily influenced by mainstream commercial food culture.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.355
Threshold uncertainty score0.796

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 studies0.0010.000
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 head0.151
GPT teacher head0.410
Teacher spread0.258 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations59
Published2012
Admission routes2
Has abstractyes

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