Review Of The Proposed Carbon Competitiveness Regulation: A Cost Effectiveness Approach To Reducing Oil Sands Emissions.
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
Climate change has resulted in progressively adverse impacts resulting in an increase in stakeholder pressure for reducing greenhouse gas (GHG) emissions. The Alberta oil sands contribute to almost 10% of Canada’s GHG emissions. The Carbon Competitiveness Regulation has been proposed to reduce emissions directly related to Alberta oil sands production. This paper (1) explores the cost effectiveness of adopting the new regulation through literature review and data analysis, (2) identifies the challenges of reducing emissions, and (3) develops recommendations to improve the policy process. An environmental analysis is presented to uncover the emissions related to the oils sands, followed up a policy critique of the proposed regulation, and a data assessment of the potential economic costs related to implementing it effectively. The proposed regulation appears to be a cost effective approach to reducing emissions, but faces challenges including oil prices, market conditions, technology availability, and carbon leakage risks.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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