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Record W4392438295 · doi:10.1139/as-2023-0038

“We call it soul food”: Inuit women and the role of country food in health and well-being in Nunavut

2024· article· en· W4392438295 on OpenAlexafffundvenueabout
Amy Caughey, Pitsiula Kilabuk, Theresa Koonoo, Igah Sanguya, Martha Jaw, Jean Allen, Michelle Doucette, Jan M. Sargeant, Helle Moeller, Sherilee L. Harper

Bibliographic record

VenueArctic Science · 2024
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsLakehead UniversityNunavut Research InstituteGovernment of NunavutUniversity of GuelphUniversity of Alberta
FundersInstitute of Nutrition, Metabolism and Diabetes
KeywordsContext (archaeology)Food securityIndigenousFood sovereigntyPublic healthGeographyTraditional knowledgeFood systemsPolitical scienceEconomic growthEnvironmental healthMedicineAgricultureEcology

Abstract

fetched live from OpenAlex

Indigenous knowledge is central to understanding environment and health sciences in the Arctic, yet limited research in these fields has explored the human–animal–environment interface from the unique perspectives of Inuit women. Using a community-led, Inuit-centred research approach, we characterized the use and meaning of country food in the context of community well-being for Inuit women in Nunavut, Canada. In-depth conversational interviews and focus groups ( n = 16) were held with Inuit women ( n = 10) who are knowledge holders in the Qikiqtani region that hold decades of country food knowledge. Data were analyzed using thematic analysis and constant comparative methods. Inuit women described country food in the context of (1) well-being, connection, and identity, (2) hunger, craving, and healing, (3) food security and nourishment, and (4) change and adaptation. Inuit women described a wide range of country food as central to physical and mental health, food security, identity, culture, healing and medicine. Adaptive strategies were discussed, such as eating more fish when caribou were scarce. This research highlights the critical role of country food for health and well-being for Inuit women and shares knowledge and perspective that is relevant to wildlife and environment researchers, public health practitioners, policy makers, and others interested in advancing health, well-being, and food sovereignty in Inuit communities.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.109
Threshold uncertainty score0.902

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
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 head0.015
GPT teacher head0.327
Teacher spread0.312 · 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

Citations14
Published2024
Admission routes4
Has abstractyes

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