Bibliographic record
Abstract
Seeking new definitions of ecology in the tar sands of northern Alberta and searching for the sweetness of life in the face of planetary crises. Confounded by global warming and in search of an affirmative politics that links ecology with social change, Matt Hern and Am Johal set off on a series of road trips to the tar sands of northern Alberta—perhaps the world's largest industrial site, dedicated to the dirty work of extracting oil from Alberta's vast reserves. Traveling from culturally liberal, self-consciously “green” Vancouver, and aware that our well-meaning performances of recycling and climate-justice marching are accompanied by constant driving, flying, heating, and fossil-fuel consumption, Hern and Johal want to talk to people whose lives and fortunes depend on or are imperiled by extraction. They are seeking new definitions of ecology built on a renovated politics of land. Traveling with them is their friend Joe Sacco—infamous journalist and cartoonist, teller of complex stories from Gaza to Paris—who contributes illustrations and insights and a chapter-length comic about the contradictions of life in an oil town. The epic scale of the ecological horror is captured through an series of stunning color photos by award-winning aerial photographer Louis Helbig. Seamlessly combining travelogue, sophisticated political analysis, and ecological theory, speaking both to local residents and to leading scholars, the authors propose a new understanding of ecology that links the domination of the other-than-human world to the domination of humans by humans. They argue that any definition of ecology has to start with decolonization and that confronting global warming requires a politics that speaks to a different way of being in the world—a reconstituted understanding of the sweetness of life. Published with the help of funding from Furthermore: a program of the J. M. Kaplan fund
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.014 | 0.051 |
| Scholarly communication | 0.012 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".