MétaCan
Menu
← Back to cohort

Dietary Change in Populations of the North American Subarctic

2016· book-chapter· en· W2534708971 on OpenAlexafffund
Emőke J. E. Szathmáry

Bibliographic record

VenueOxford University Press eBooks · 2016
Typebook-chapter
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsUniversity of Manitoba
FundersHealth Canada
KeywordsSubarctic climateIndigenousGeographyEnvironmental healthMedicineBiologyEcologyArchaeology

Abstract

fetched live from OpenAlex

Abstract This chapter considers the consequences of change, from a largely flesh based diet to one that includes flour and sugar, among North American Subarctic populations. It notes the problems associated with assessing dietary change among the indigenous inhabitants of this area, and what is known about their foods. It reviews frequently used methods of dietary intake assessment. Survey findings on total energy intakes and the macronutrient composition of indigenous diets are presented. Lastly, evidence regarding the impact of dietary change on the health of Subarctic peoples is summarized. Special consideration is given to chronic diseases, especially type 2 diabetes, and future health risks, given the rapidity of dietary acculturation in the Subarctic. It has proven difficult to demonstrate that dietary change has a direct causal role in the onset of chronic diseases, even though the transition from pre-contact to modern diets is recent, in some instances just a few decades ago.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.960
Threshold uncertainty score0.079

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.001

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 head0.099
GPT teacher head0.310
Teacher spread0.211 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2016
Admission routes2
Has abstractyes

Explore more

Same venueOxford University Press eBooks→Same topicIndigenous Studies and Ecology→French-language works237,207→