Rethinking royalty Rates: Why There Is a Better Way to Tax Oil and Gas Development
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
When provinces raise royalties charged on oil and gas production, the result can be less, not more tax revenues. The authors show how resource-rich provinces would be better off relying more on auctions for exploration and development rights and relying less on royalties levied on output. Oil and gas taxation in Canada consists of two main elements: an auction payment and royalties that apply to the value of resources extracted. The authors examine the results of Alberta’s short-lived decision, in 2007, to increase royalty rates on oil and gas production. Accounting for differences in bonus bids across provinces in the same geological zones, the authors report that Alberta government revenue, collected through bonus bids, declined by nearly as much as the projected increase in royalty payments.
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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) | 0.001 | 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 it