Bibliographic record
Abstract
The role of consumers in contributing to a just transition in the food system remains underexplored. In this article, I argue for the importance of examining their role, not only in terms of individual or household behavioural change, but also with respect to broader potential political economic developments. By providing a schema for possible consumption-related approaches that would feature varying degrees of state involvement, I encourage reflection on the extent to which justice may be realized as climate change is addressed through food system interventions. I emphasize that hybridized approaches may be possible, and that initiatives that may be constrained within a capitalist political-economic framework nevertheless hold the potential to showcase trajectories toward longer-term post-capitalist food futures. On balance, some restraints on individual freedoms regarding food consumption habits may be inevitable if structural transformations are to be achieved that will adequately support climate change mitigation, yet justice-oriented considerations will need to be weighed in terms of how such restraints would be pursued. I base these observations on research that included interviewing farmers and representatives of alternative food organizations in Ontario and Quebec. Themes covered include public and government views on local food and ecological agriculture, challenges related to initiatives such as Community Supported Agriculture, the complexity of dietary transitions, and various possibilities for the state to help reshape producer-consumer relations.
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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.010 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.028 | 0.004 |
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".