Serving Social Justice: The Role of the Commons in Sustainable Food Systems
Bibliographic record
Abstract
Food is a source of sustenance, a cause for celebration, an inducement to temptation, a vehicle for power, an indicator of well-being, a catalyst for change and, above all, a life good. Along with other life goods such as potable water, clean air, adequate shelter and protective clothing, food is something we cannot live without. The global corporate food system, however, allows 800 million to go hungry, while an even larger number of people grow obese. Based in money-values, this food system promotes accumulation first and foremost, enriching a few while creating economic, social and environmental externalities that are destroying local economies, devastating individuals, families and communities and degrading the planet. What would a food system look like that was based in life-values, centred on the commons and anchored by social justice? This paper will focus on the creation of sustainable food systems, beginning with the crises of the global corporate food system and then moving to the heart of sustainable food systems – the civil commons.
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 | 0.007 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.063 |
| Scholarly communication | 0.012 | 0.013 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".