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Record W2808888949 · doi:10.15353/cfs-rcea.v5i2.202

Toward anti-colonial food policy in Canada? (Im)possibilities within the settler state

2018· article· en· W2808888949 on OpenAlexafffundvenueabout
Lauren Kepkiewicz, Sarah Rotz

Bibliographic record

VenueCanadian Food Studies / La Revue canadienne des études sur l alimentation · 2018
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsUniversity of GuelphUniversity of Toronto
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsIndigenousSolidarityFood sovereigntyColonialismSovereigntyGovernment (linguistics)Political scienceResistance (ecology)State (computer science)Political economySociologyEnvironmental ethicsFood securityGeographyLawPoliticsAgricultureEcology

Abstract

fetched live from OpenAlex

This perspective piece teases out some of the tensions between the development of a national food policy, which has gained significant traction in Canada over the past few years, and Indigenous food sovereignty, which long predates the Canadian government and its policies and has a rich history and current practice of organizing. Drawing from our observations and discussions at conferences, workshops, and events, and pointing to key aspects of discourse commonly embedded in such discussions, we critically reflect on how settler engagements with Indigenous peoples in developing a national food policy may reify, rather than dismantle, colonial relationships. Additionally, we emphasize the importance of process and the ability for settlers to accept discomfort and incommensurability if we are to move towards spaces that embody solidarity, respect, and resistance.

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)0.004
metaresearch head score (Gemma)0.005
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 score0.120
Threshold uncertainty score0.872

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0350.023
Scholarly communication0.0130.002
Open science0.0020.004
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0070.000

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 head0.071
GPT teacher head0.322
Teacher spread0.251 · 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

Citations28
Published2018
Admission routes4
Has abstractyes

Explore more

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