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Record W4406900299 · doi:10.5304/jafscd.2025.141.031

Indigenous food sovereignty: Pathways for Native scholars: Revitalizing Indigenous food systems through research and knowledge-sharing

2025· article· en· W4406900299 on OpenAlexaffabout
Mapuana C. K. Antonio, Joseph P. Brewer, Richard Elm-Hill, Michael Johnson, Tabitha Robin, A-Dae Romero-Briones, Lois Stevens, Keith Williams

Bibliographic record

VenueJournal of Agriculture Food Systems and Community Development · 2025
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsAthabasca UniversityUniversity of British Columbia
Fundersnot available
KeywordsIndigenousFood sovereigntyTraditional knowledgeFood studiesFood systemsSovereigntyPolitical scienceEnvironmental ethicsSociologyFood securityGeographyAnthropologyEcologyAgricultureBiologyPhilosophyLawArchaeology

Abstract

fetched live from OpenAlex

Introduction This inaugural column by the Indigenous Food Sovereignty Editorial Circle (IFSEC) in the Journal of Agriculture, Food Systems, and Community Development (JAFSCD) introduces a dedicated section of articles on Indigenous food sovereignty in partnership with First Nations Development Institute (First Nations). The column and the IFSEC reflect both our mission to work toward a more equitable and just food sys¬tem, and JAFSCD’s long-standing commitment to Indigenous food sovereignty, illustrated by the 2019 special issue on “Indigenous Food Sovereignty of North America.” An Indigenous-led editorial circle as part of JAFSCD, IFSEC uplifts Indigenous values and community food system aspirations in academic publishing. As an introduction to the IFSEC, this column will briefly outline the centrality of food, place, and learning in Indigenous lifeways, the main differences between Indigenous and Western approaches to the food system, and some thoughts on the role of Indigenous ways of knowing and being for the collective flourishing of humanity and all our relations, human and otherwise. The cycle of themes, along with other emergent topics related to Indigenous food systems, will thread throughout future columns. The current geographic focus includes the continental United States, Hawai’i, and Canada. The geographic scope is determined by the territorial affiliations of IFSEC members and may broaden to include other nations and regions over time.

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)0.009
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.085
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0190.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.004
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 head0.161
GPT teacher head0.395
Teacher spread0.234 · 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.

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

Citations3
Published2025
Admission routes2
Has abstractyes

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