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. \n \nRegime 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. \n \nContributions by Laurie Adkin, Angele Alook, Clifford Atleo, Emilia Belliveau-Thompson, John Bermingham, Paul Bowles, Gwendolyn Blue, Shannon Daub, Jessica Dempsey, Emily Eaton, Chuka Ejeckam, Simon Enoch, Nick Graham, Shane Gunster, Mark Hudson, Jouke Huizer, Ian Hussey, Emma Jackson, Michael Lang, James Lawson, Marc Lee, Fiona MacPhail, Alicia Massie, Kevin McCartney, Bob Neubauer, Eric Pineault, Lise Margaux Rajewicz, James Rowe, JP Sapinsky, Karena Shaw, and Zoe Yunker.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.010 | 0.005 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.174 | 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 teacher head, 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".