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Record W4226209936 · doi:10.1007/s10460-022-10312-7

Agroecology in the North: Centering Indigenous food sovereignty and land stewardship in agriculture “frontiers”

2022· article· en· W4226209936 on OpenAlexafffundabout
Mindy Jewell Price, Alex Latta, Andrew Spring, Jennifer Temmer, Carla Johnston, Lloyd Chicot, Jessica Jumbo, Margaret Leishman

Bibliographic record

VenueAgriculture and Human Values · 2022
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture, Land Use, Rural Development
Canadian institutionsAssembly of First NationsBalsillie School of International AffairsFirst Nations Health and Social Secretariat of ManitobaWilfrid Laurier University
FundersGovernment of CanadaFulbright Canada
KeywordsFood sovereigntyAgroecologyFood systemsStewardship (theology)IndigenousCircumpolar starAgricultureEnvironmental stewardshipCorporate governancePolitical scienceTraditional knowledgeEnvironmental governanceFood securityGeographyEnvironmental resource managementEcologyBusinessEconomicsPolitics

Abstract

fetched live from OpenAlex

Abstract Warming temperatures in the circumpolar north have led to new discussions around climate-driven frontiers for agriculture. In this paper, we situate northern food systems in Canada within the corporate food regime and settler colonialism, and contend that an expansion of the conventional, industrial agriculture paradigm into the Canadian North would have significant socio-cultural and ecological consequences. We propose agroecology as an alternative framework uniquely accordant with northern contexts. In particular, we suggest that there are elements of agroecology that are already being practiced in northern Indigenous communities as part of traditional hunter-gatherer food systems. We present a framework for agroecology in the North and discuss its components of environmental stewardship, economies, knowledge, social dimensions and governance using examples from the Dehcho region, Northwest Territories, Canada. Finally, we discuss several challenges and cautions in creating policy around agroecology in the North and encourage community-based research in developing and testing this framework moving forward.

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.921
Threshold uncertainty score0.305

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.030
Scholarly communication0.0070.002
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.014
GPT teacher head0.193
Teacher spread0.180 · 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 designTheoretical or conceptual
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

Citations44
Published2022
Admission routes3
Has abstractyes

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