Civil Society and Social Movements in Food System Governance
Bibliographic record
Abstract
This book offers insights into the governance of contemporary food systems and their ongoing transformation by social movements. \nAs global food systems face multiple threats and challenges there is an opportunity for social movements and civil society to play a more active role in building social justice and ecological sustainability. Drawing on case studies from Canada, the United States, Europe, and New Zealand, this edited collection showcases promising ways forward for civil society actors to engage in governance. The authors address topics including: the variety of forms that governance engagement takes from multi-stakeholderism to co-governance to polycentrism/self-governance; the values and power dynamics that underpin these different types of governance processes; effective approaches for achieving desired values and goals; and, the broader relationships and networks that may be activated to support change. By examining and comparing a variety of governance innovations, at a range of scales, the book offers insights for those considering contemporary food systems and their ongoing transformation. \nIt is suitable for food studies students and researchers within geography, environmental studies, anthropology, policy studies, planning, health sciences and sociology, and will also be of interest to policy makers and civil society organizations with a focus on 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 | 0.000 | 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 | 0.000 | 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 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".