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Record W2559587458 · doi:10.5304/jafscd.2015.054.014

Beyond Inclusion: Toward an Anti-colonial Food Justice Praxis

2015· article· en· W2559587458 on OpenAlexaffabout
Lauren Kepkiewicz, Michael Chrobok, Madeline Whetung, Madelaine C. Cahuas, Jina Gill, Sam Walker, Sarah Wakefield

Bibliographic record

VenueJournal of Agriculture Food Systems and Community Development · 2015
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicOrganic Food and Agriculture
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsOppressionPraxisComplicityEconomic JusticeSociologyColonialismSolidarityContext (archaeology)Inclusion (mineral)InjusticeEnvironmental ethicsCapitalismPolitical scienceGender studiesLawPolitics

Abstract

fetched live from OpenAlex

Activists and academics have increasingly drawn on the concept of "food justice" in recent years. While this trend is encouraging, we argue that a focus on "inclusion" by these actors may actually work to reproduce inequitable relationships. Food justice research and practice should thus move beyond inclusion to connect food system inequities to interlocking structures of oppression, such as capitalism, patriarchy, white supremacy, and colonialism. In Canada, placing food justice in the context of ongoing processes of colonialism—and recognizing that no justice can happen on stolen land—is particularly important. While we make these suggestions, we do not claim to have all the answers; we struggle through the same tensions we raise here in our own work. Nonetheless, we feel that encouraging those interested in food activism to consider intersecting systems of domination, to challenge such structures and their complicity in them, and to build solidarity with other activists, perhaps using land as the basis for new conversations and alliances, may be key steps toward cultivating an anti-colonial food justice praxis.

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)0.002
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.440
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.038
GPT teacher head0.232
Teacher spread0.194 · 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 designNot applicable
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

Citations37
Published2015
Admission routes2
Has abstractyes

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