‘We have a lot of (un)learning to do’: whiteness and decolonial prefiguration in a food movement organization
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Despite the disproportionate food injustice experienced by Indigenous Peoples, Black people and people of color, food movements have been dominated by white settlers who have had limited success in addressing this injustice. Settler colonialism is increasingly recognized as a root cause of food insecurity for Indigenous Peoples on Turtle Island; it is also a key contributor to food insecurity experienced by Black people and people of color. The racialized exploitation of land and labor central to both settler colonialism and racial capitalism continue to form the backbone of the Canadian food system today, elucidating the important role food movements hold in the struggle for decolonization and racial justice. In this paper we present a case study of the (im)possibilities of white/settlers working towards Indigenous Food Sovereignty and food justice. By analyzing protests linked to Food Secure Canada's 2018 Assembly, we find that an implicit reliance on representation may have limited the organization's capacity for change. We propose that unsettling (un)learning, organizational transformation, and participation in broader anticolonial/anticapitalist struggle – what we are calling decolonial prefiguration – offers a more constructive path to decolonized futures that support food sovereignty and justice for all.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it