Understanding contemporary networks of environmental and social change: complex assemblages within Canada’s ‘food movement’
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Emerging forms of social mobilisation are explored, using food initiatives in Canada as an example. Food networks are particularly interesting as a case study: they have holistic goals that include both environmental and social concerns, the number and scope of food initiatives have rapidly increased, and there has recently been a high level of public engagement around food issues. Networks among alternative food initiatives (AFIs) are investigated using a survey and in-depth interviews. Food movement networks exhibit some elements of collective identity, but network members have diverse goals, projects, and tactics that do not always align into a coherent political program. Social network theory and the analytic of complex assemblages are employed to help understand these results. Understanding how these food networks function provides insight not just into food networks, but also more generally into the study and practice of social mobilisation around environmental issues.
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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 it