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Record W4405530426 · doi:10.15353/cfs-rcea.v11i3.710

From Palestine to Turtle Island

2024· article· en· W4405530426 on OpenAlexaffvenueabout
Sarah Rotz, Charles Levkoe, Martha Stiegman, Mustafa Koç, I. J. Singh, Max Ajl, Yafa Al Masri, Justin Podur

Bibliographic record

VenueCanadian Food Studies / La Revue canadienne des études sur l alimentation · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicJewish and Middle Eastern Studies
Canadian institutionsToronto Metropolitan UniversityLakehead UniversityYork University
Fundersnot available
KeywordsPalestineTurtle (robot)GeographyAncient historyArchaeologyHistoryFisheryBiology

Abstract

fetched live from OpenAlex

This paper examines the historical and ongoing role of food as both a tool of colonization and a means of liberation, focusing on Palestine and Turtle Island (Canada). In Gaza, the latest wave of Israeli military violence, described by the UN as genocidal, uses food militarization and weaponization as key tactics of settler colonial control. These strategies, rooted in colonial and capitalist systems, have long been employed by settler states like Canada to suppress Indigenous populations. The destruction of food systems in Palestine is part of a broader attack on land sovereignty, reflecting similar patterns of colonial land theft and environmental devastation in North America. Gaza now suffers from extreme food insecurity and famine, exacerbated by large-scale environmental destruction. Despite this, food sovereignty remains a crucial aspect of resistance for Palestinians and Indigenous peoples across the world. This paper draws on a panel discussion organized by the Canadian Association for Food Studies/L’Association canadienne des études sur l’alimentation (CAFS/ACÉA), featuring insights from three scholars who connect food systems to colonialism and struggles for self-determination. The discussion underscores the importance of Indigenous movements and mutual aid networks in the fight for land, food, and cultural sovereignty. These localized struggles are part of a larger global resistance against imperialism and colonialism, illustrating the power of food sovereignty as a means of survival and liberation.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.735
Threshold uncertainty score0.969

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.057
GPT teacher head0.293
Teacher spread0.236 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2024
Admission routes3
Has abstractyes

Explore more

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