Bibliographic record
Abstract
Adopting a comparative approach, this book argues that many iconic 21st -century metaphors and images used to communicate climate change and ecological crisis actually conceal the destructive foundations of Anthropocene life. Climate crisis images and narratives produced by the global north have long structured the way environmental change is understood and managed. This open access book examines how apocalyptic 'climate memes' – which are familiar from dominant environmental media, eco-art and science communication – risk invisibilising ecological and social injustices on the ground and perpetuating colonizing and violent planetary responses. The book showcases alternative climate imaginaries emerging from global south, Indigenous-led and anti-colonial movements. Through five case studies in Chile, Greenland, the Pacific Islands, the UK, and Canada, it introduces key contemporary artists, activists and scholars whose creative interventions challenge colonial, extractive, and late capitalist thinking. Among them are the artistic and filmic collaborations, land defence projects, performances and installations of activist artists including Craig Santos Perez, Kathy Jetnil-Kijiner and Rita Wong. The book advocates for collaborative, transdisciplinary, and grassroots action in reconfiguring ecological relations, shifting from technocratic solutions to culturally and contextually grounded practices. The ebook editions of this book are available open access under a CC BY-NC-ND 4.0 licence on bloomsburycollections.com. Open access was funded by The University of Exeter.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.022 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".