Pipelines as Sun Tunnels: Visualizing Alternatives to Carboniferous Capitalism
Bibliographic record
Abstract
Canada is home to the third largest oil deposit in the world, the Alberta Tar Sands (behind only Venezuela and Saudi Arabia).Over the past decade there have been quickening efforts by tar sands producers to build new pipelines to transport more oil to market.The precise reason industry wants new pipelines -allowing for expanded tar sands production -is why they are being so fiercely resisted by indigenous peoples and environmentalists.Growing the tar sands will further pollute and despoil the traditional territories of the Beaver Lake Cree and many other First Nations affected by the intensive mining required to extract tar sands oil. 1 Expanded production will also grow global C02 emissions, making it increasingly challenging for Canada and the global community to arrest dangerous climate change. 2Finally, new pipeline infrastructure necessarily means more spills of oil onto land and water and the further production of capitalist "sacrifice zones." 3
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.007 | 0.009 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.003 |
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".