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Record W4210816169 · doi:10.1080/15528014.2021.2025311

Coming full circle: a critical review of the historical changes in governance, nutrition and food security of Labrador Inuit between 1500 and 2005

2022· review· en· W4210816169 on OpenAlexaffabout
Renee Bowers, Gail Turner, Ian D. Graham, Chris Furgal, Lise Dubois

Bibliographic record

VenueFood Culture & Society · 2022
Typereview
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsTrent UniversityOttawa HospitalInstitute of Population and Public HealthUniversity of Ottawa
Fundersnot available
KeywordsIndigenousGeographyGovernment (linguistics)Food securityPsychological resilienceFood habitsColonizationResilience (materials science)Corporate governanceSocioeconomicsPolitical scienceArchaeologyEcologyAgricultureSociologyEnvironmental healthMedicineManagementBiology

Abstract

fetched live from OpenAlex

Labrador Inuit are an Indigenous People from northern Labrador, within the province of Newfoundland and Labrador, Canada. Prior to European contact, Labrador Inuit were self-reliant. However, historical relationships with Christian missionaries, the Government of Newfoundland and Labrador, and the Government of Canada impacted their relationship with food, access to food, and the physical and social health of Labrador Inuit. This review is based on the stages of colonization. It uses a critical dietetics lens to examine the extrinsic causes of nutrition and food security issues that resulted from colonization, and describes the interventions implemented to address them. Moreover, the review shows the resilience and adaptability of Labrador Inuit as they came full circle from self-sufficient Labrador Inuit in the 1500s, to sign the first Inuit land claim agreement in Canada and form the Nunatsiavut Government in 2005.

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)0.003
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.956
Threshold uncertainty score0.087

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0060.009
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.072
GPT teacher head0.372
Teacher spread0.300 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations2
Published2022
Admission routes2
Has abstractyes

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