Transnationalism and Diffusion: A Study of the Food Sovereignty Movements in the UK and Canada
Bibliographic record
Abstract
This paper explores a number of questions surrounding the transnational diffusion of social movements and their ideas through case studies of the food sovereignty movements in the UK and in Canada: How do social movements in one country or world region diffuse to another country or region? How do social movement participants learn about other movements and their ideas in different countries and organize and mobilize around these same ideas while at the same time adapting them to their local context? What are the channels and mechanisms of social movement diffusion? In addressing these questions, the paper contributes to our understanding of the transnational diffusion of social movements and the ways in which social movement participants adopt, interpret, and adapt new ideas, organizational forms, and agendas and causes that originated outside their own countries. It highlights the ways in which groups and communities around the world recontextualize social movement discourses to make them relevant to their own circumstances and to connect their causes and struggles to global movements.
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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 | 0.004 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.010 |
| Science and technology studies | 0.029 | 0.014 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".