Value-Added for Whom? An Assessment of Alberta's Bitumen Royalty-in-Kind Program
Bibliographic record
Abstract
Non-renewable resource revenues comprise a significant portion of Alberta’s total revenue. These revenues facilitate a high level of government spending per-capita, and prior to 2009, contributed to a 14-year stretch of surpluses. Since 2009, bitumen royalties have occupied the largest share of resource revenues. Given that revenues are both volatile and finite, provincial governments have an incentive to maximize their value. There is a widely held perception in Alberta that bitumen extraction does not add value, and that instead, value arises from downstream activities such as upgrading and processing. Since Peter Lougheed led the Progressive Conservatives to victory over the Social Credit party in 1971, successive governments have attempted to diversify the province’s resource-based economy. Using a “forced growth” approach to economic diversification, provincial governments targeted specific industries and firms to assist. Many of these initiatives, however, have failed, costing Albertan taxpayers hundreds of millions of dollars. An agreement made under the province’s Bitumen Royalty-in-Kind (BRIK) program is one of the latest examples of the province acting as an entrepreneur. The agreement between the Northwest Redwater Partnership and the provincial government is, in essence, a loan guarantee that has facilitated the construction of the 150,000 barrel per day Sturgeon Refinery. It is estimated that over the lifetime of the project that the refinery will result in a total liability of $26 billion dollars.
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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 | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.002 | 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".