Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Thanks to increasingly extreme forms of oil extraction, Canada’s largest oil-producing provinces underwent exceptional economic growth from 2005 to 2015. Yet oil’s economic miracle obscured its ecological costs. Fossilized traces this development trajectory, assessing how the governments of Alberta, Saskatchewan, and Newfoundland and Labrador offered extensive support for oil-industry development, and exploring the often downplayed environmental effects of extraction. Angela Carter investigates overarching institutional trends, such as the restructuring of departments that prioritized extraction over environmental protection, and identifies regulatory inadequacies related to environmental assessment, land-use planning, and emissions controls. Her detailed analysis situates these policy dynamics within the historical and global context of late-stage petro-capitalism and deepening neoliberalization of environmental policy. Fossilized reveals a country out of step with the transition unfolding in response to the climate crisis. As the global community moves toward decarbonization, Canada’s petro-provinces are instead doubling down on oil – to their ecological and economic peril.
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.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it