Geographies of degrowth: Nowtopias, resurgences and the decolonization of imaginaries and places
Bibliographic record
Abstract
The term ‘ décroissance ’ (degrowth) signifies a process of political and social transformation that reduces a society's material and energy use while improving the quality of life. Degrowth calls for decolonizing imaginaries and institutions from – in Ursula Le Guin's words – ‘a one-way future consisting only of growth’. Recent scholarship has focused on the ecological and social costs of growth, on policies that may secure prosperity without growth, and the study of grassroots alternatives pre-figuring a post-growth future. There has been limited engagement, however, with the geographical aspects of degrowth. This special issue addresses this gap, looking at the rooted experiences of peoples and collectives rebelling against, and experimenting with alternatives to, growth-based development. Our contributors approach such resurgent or ‘nowtopian’ efforts from a decolonial perspective, focusing on how they defend and produce new places, new subjectivities and new state relations. The stories told span from the Indigenous territories of the Chiapas in Mexico and Adivasi communities in southern India, to the streets of Athens, the centres of power in Turkey and the riverbanks of West Sussex.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.013 | 0.044 |
| Scholarly communication | 0.006 | 0.008 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.006 | 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".