Just Transformations:Grassroots Struggles for Sustainable Futures
Bibliographic record
Abstract
The climate crisis is the greatest existential threat humanity faces today. The need for a radical societal transformation in the interests of social justice and ecological sustainability has never been greater. But where can we turn to find systemic alternatives? From India, Turkey and Bolivia, to Venezuela, Canada and Lebanon, Just Transformations looks to local environmental struggles for the answers. With each case study grounded in the social movements and specific politics of the region in question, this volume investigates the role that resistance movements play in bringing about sustainable transformations, the strategies and tools they utilise to overcome barriers, and how academics and grassroots activists can collaborate effectively. The book provides a toolkit for scholar-activists who want to build transformative visions with communities. Interrogating each case study for valuable lessons, the contributors develop a conceptualisation of a just transformation that focuses on the changes that communities themselves are trying to produce.
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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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".