Regime of Obstruction: How Corporate Power Blocks Energy Democracy
Bibliographic record
Abstract
Rapidly rising carbon emissions from the intense development of Western Canada's fossil fuels continue to aggravate the global climate emergency and destabilize democratic structures. The urgency of the situation demands not only scholarly understanding, but effective action. Regime of Obstruction aims to make visible the complex connections between corporate power and the extraction and use of carbon energy. Edited by William Carroll, this rigorous collection presents research findings from the first three years of the seven-year, SSHRC-funded partnership, the Corporate Mapping Project. Anchored in sociological and political theory, this comprehensive volume provides hard data and empirical research that traces the power and influence of the fossil fuel industry through economics, politics, media, and higher education. Contributors demonstrate how corporations secure popular consent, and coopt, disorganize, or marginalize dissenting perspectives to position the fossil fuel industry as a national public good. They also investigate the difficult position of Indigenous communities who, while suffering the worst environmental and health impacts from carbon extraction, must fight for their land or participate in fossil capitalism to secure income and jobs. The volume concludes with a look at emergent forms of activism and resistance, spurred by the fact that a just energy transition is still feasible. This book provides essential context to the climate crisis and will transform discussions of energy democracy.
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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 | 0.001 |
| Science and technology studies | 0.004 | 0.012 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".