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Record W2046720057 · doi:10.3402/ijch.v70i3.17833

Importance of traditional foods for the food security of two First Nations communities in the Yukon, Canada

2011· article· en· W2046720057 on OpenAlexaffabout
Roseanne C. Schuster, Eleanor E. Wein, Cindy Dickson, Hing Man Chan

Bibliographic record

VenueInternational Journal of Circumpolar Health · 2011
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsCouncil of Yukon First NationsCanadian Institute for Advanced ResearchUniversity of AlbertaUniversity of Northern British Columbia
FundersCancer Research UK
KeywordsFood securityConsumption (sociology)Context (archaeology)GeographyFood consumptionSocioeconomicsEnvironmental healthAgricultural economicsMedicineEconomicsAgricultureSociologySocial science

Abstract

fetched live from OpenAlex

OBJECTIVES: This study sought to evaluate food consumption patterns in the context of food security in two Yukon First Nations communities. STUDY DESIGN: Twenty-nine members of Vuntut Gwitchin households in Old Crow and 33 members of Tlingit households in Teslin participated in individual interviews. METHODS: Food frequency questionnaires were used to quantify traditional food consumption throughout the spring 2007 and winter 2008 and to identify potential temporal trends through a comparison with data from the early 1990s. Additional questions, including the Health Canada Household Food Security Survey Module, sought to assess food security concerns in each community. RESULTS: Overall frequency of traditional food consumption did not change in either community from the 2 time-point analyses. There was, however, a difference in frequency of consumption of certain groups of foods, and this highlighted the degree to which environmental variability affects the availability of foods. CONCLUSION: The importance of traditional foods in the diet of Yukon First Nations has not changed over the past 15 years. However, limited availability of food species, access to harvesting equipment and decrease in available time to go out on the land to harvest are food security challenges facing households today.

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)0.003
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.671
Threshold uncertainty score0.918

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
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 science0.0010.000
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 head0.115
GPT teacher head0.379
Teacher spread0.265 · 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 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

Citations60
Published2011
Admission routes2
Has abstractyes

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