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Record W6923723447 · doi:10.14288/1.0448133

Cree Food Knowledge and Being Well

2025· article· en· W6923723447 on OpenAlexaboutno aff

Bibliographic record

VenueOpen Collections · 2025
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsSustenanceIndigenousFood sovereigntyTraditional knowledgePsychological resilienceCornerstoneFirst nation

Abstract

fetched live from OpenAlex

This paper explores the crucial role of Cree elders’ knowledge in revitalizing Indigenous food sovereignty, focusing on food as a cornerstone of Cree identity, spirituality, and wellbeing. Based on a study of Cree elders in Manitoba in 2020, this paper highlights the depth of Cree food knowledge, intertwined with spiritual practices, language, and land ethics. Using an Indigenous research paradigm, ten Cree elders were interviewed and shared their experiences of traditional communal practices, the detrimental impacts of colonialism on food systems, and the spiritual connections between food, land, and community. The elders emphasized the need for education and the preservation of Cree languages, which encode critical knowledge for sustaining food practices. Through their stories, elders illustrated how food sovereignty is not merely about physical sustenance but involves maintaining sacred relationships and responsibilities to the land and all its inhabitants. This research underscores the importance of Cree knowledge in reclaiming and sustaining Indigenous food systems, essential for the health and resilience of Cree 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 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)0.004
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: Other · Consensus signal: none
Teacher disagreement score0.985
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.011
Scholarly communication0.0040.004
Open science0.0000.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0080.001

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 head0.037
GPT teacher head0.394
Teacher spread0.357 · 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
GenreOther

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
Published2025
Admission routes1
Has abstractyes

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