The frontiers of North America’s fossil fuel boom: BP, Tar Sands, and the re-industrialization of the Calumet Region
Bibliographic record
Abstract
This article focuses in on the ways in which the North American energy boom is reworking environments and livelihoods in the Great Lakes, focusing in particular on the expansion of BP's Chicago-area refinery as it has pivoted towards processing Canadian tar sands oil. In examining this 're-industrialization', the article contributes to an ongoing discussion about the relationship between fossil fuels, limits to capitalism, and the importance of frontiers in resolving capitalist crises. The first empirical section of the article looks at the early history of the Calumet's development as a hub for fossil fuel distribution and refining and, drawing from Moore's 'world-ecology framework', demonstrates the ways in the appropriation of unpaid work/energy - in particular the appropriation of the wetlands that make up the southern tip of Lake Michigan - serves as the underappreciated condition of possibility for the BP Whiting refinery's existence. Today, this combination of productivity and plunder continues in the region, illustrating urban metabolisms that are not confined to the city. In the second empirical section of the article, I argue that despite predictions of crises arising from declining ecological surpluses, in Calumet today, BP is finding new frontiers of surplus value production, both in the form of producing petcoke and in continued geographic expansion in the region. As a way of understanding the persistence and adaptive capacity of capital, even in degraded landscapes like Calumet, I consider Johnson's concept of 'accumulation by degradation' as an excellent tool for understanding dynamics in the region. The production of both petcoke and pollution – undesirable from a social and ecological perspective – sustain BP's industrial colonialism in the region because they ensure weakened competition and below market rents that allow for expansion and place-based longevity.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.010 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".