An examination of the interaction between natural resource revenues and equalization payments : lessons for Atlantic Canada
Bibliographic record
Abstract
This presentation outlined the framework for the basic changes that will be made to Canada's Equalization Program and Territorial Formula Financing. Recent and future natural resource developments in Atlantic Canada may improve the relative economic performance within the region. However, there is concern that the current structure of the Equalization Program distorts policy decisions related to the exploitation of natural resources and discriminates against some provinces. In particular, it has been proposed that the Atlantic Provinces should withhold development of their natural resources until they get a better deal on equalization entitlement. This new framework proposes changes to how payments are allocated among receiving provinces and territories in order to improve the Equalization Program's stability, predictability and growth. A review of offshore oil and gas agreements was presented with particular reference to the Atlantic Accord and the Canada-Nova Scotia Offshore Petroleum Resources Accord which gave Newfoundland and Labrador and Nova Scotia the right to collect royalties and levy taxes on offshore operations. This study analyzes alternative treatments of natural resource revenues within the Equalization Program, and presents 80 scenarios (20 for each of 4 fiscal years) involving both low-revenue and high-revenue variants for offshore Newfoundland and Nova Scotia. Ten conclusions were drawn from the analysis of these alternative scenarios. 31 refs., 13 tabs., 11 figs.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".