Pathways for advancing good work in food systems: Reflecting on the international Good Work for Good Food Forum
Bibliographic record
Abstract
The crucial roles that workers, especially seasonal and migrant workers, play in our food systems have come under renewed attention in recent years. The coronavirus pandemic resulted in food workers being recognized as critical or essential workers in many countries. In 2021, this coincided with the UN International Year of Fruits and Vegetables (IYFV), highlighting the importance of horticultural crops to healthy lives globally. Yet, workers’ quality of life in this most labor-intensive form of food production is often disregarded, or in the case of the UN IYFV, misconstrued. The agriculture-migration nexus—on which food systems depend—remains recognized as a challenge, yet there is limited debate about how it could be ameliorated and a lack of articulation of desirable alternatives. While alternative food and peasant movements propose food system transformation and alternative labor futures based on agroecology, labor lawyers and other advocates propose regulation and formalization of workplace regimes to ensure fair working conditions. Most recently, a third possibility has emerged from agri-tech innovators: a techno-centric future with far fewer agricultural workers. These three archetypes of agricultural labor futures (agroecological, formally regulated, and techno-centric) have the potential to leave food scholars and activists without a unified, coherent vision to advance. Addressing this gap, this paper reports and builds on insights harvested from the international Good Work for Good Food Forum, organized by the authors with the aim of shaping consensus on positive visions for work in food systems. About 40 scholar-activists across three continents discussed the current challenges facing food workers and crafted a collective vision for good food work. This vision is documented in the form of nine principles supported by a framework of seven enabling pathways. We conclude by emphasizing the need for a people-centered incorporation of technology and a re-valuation of food workers’ contributions to global food systems. We offer the vision as a collective platform for action to advocate for and organize with workers in food systems.
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 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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".