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Record W4414158213 · doi:10.1080/15528014.2025.2546193

Principles of care: Indigenous land stewards’ motivations in protecting land and food systems in British Columbia

2025· article· en· W4414158213 on OpenAlexafffundabout
Stephanie Lin, Tabitha Robin

Bibliographic record

VenueFood Culture & Society · 2025
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsUniversity of British Columbia
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsIndigenousFood systemsLand useFood securityGovernment (linguistics)

Abstract

fetched live from OpenAlex

Indigenous land stewards hold unique roles and responsibilities in relation to the land and employ traditional ecological knowledges to protect the land’s health and longevity, supporting Indigenous self-determination and food sovereignty. This research explored Indigenous land stewards’ motivations in caring for the land and how their work is an expression of love and care. Conversational interviews were held with twelve Indigenous land stewards residing in British Columbia, who discussed their roles and responsibilities through oral storytelling. The findings revealed six key themes: land, good relations, and reciprocity; learning, sharing, and healing; spirituality and ceremony; love and care; Indigenous food sovereignty; and resistance against colonial structures. Participants articulated a profound interconnectedness with the land, emphasizing reciprocal relationships, spiritual practices, and a commitment to food sovereignty as being central to their roles. Participants also highlighted the importance of advocating for the well-being of the land and Indigenous communities in the ongoing struggle against harmful colonial practices including resource extraction and industrial developments. These themes collectively highlight the collaborative and committed nature of their work, with a goal of protecting and nurturing the land for future generations.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.838
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.022
GPT teacher head0.298
Teacher spread0.276 · 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 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
Published2025
Admission routes3
Has abstractyes

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