Responsibility for Food Sovereignty in an Urbanizing and Risky World
Bibliographic record
Abstract
Abstract This chapter considers the place of responsibility in confronting ecological sustainability and social equity problems in the food system. We present two illustrations addressing the following question: In what ways does responsibility present a way to close the metabolic rift in line with the vision of the global food sovereignty movement? First, using the example of Metro-Vancouver in Canada, we consider the ways in which urban people claim responsibility for land protection through the concept of urban agrarianism, defined as an urban ethic of care for foodlands, with an associated responsibility to exercise solidarity with those who cultivate and harvest food. Second, we discuss how deepening relational responsibility in legal and regulatory frameworks might hold the corporate food regime accountable in the Canadian context to address their role in and responsibility for mitigating an increasingly risky world, as evidenced by the COVID-19 pandemic. We argue that the responsibility of urban people to mobilise in solidarity with food movements, and against the corporate food regime in particular, will play a critical role in supporting the transition to sustainable and just food systems. This applies both to finding new ways to claim responsibility for this transition and to hold those actors that have disproportionately benefitted from the corporate food regime responsible. Such a reworking of responsibility is especially necessary as the context for food systems change becomes increasingly urbanised and risky.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.014 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".