Bibliographic record
Abstract
Alberta’s short-term fiscal challenges are well known, but its long-term ones are more significant. An aging population, a high reliance on non-renewable resource revenue, and rising debt levels will increasingly widen the current gap between spending and revenue. This paper estimates how large this gap is and where it is headed in the coming decades. Combining detailed data and projections for macroeconomic and demographic variables with a rich model of Alberta’s budget, this report quantifies the scale of the province’s fiscal challenge and explores potential ways to address it. Overall, I find the present value of the difference between spending and non-resource revenues is 4.2 per cent of GDP between 2018 and 2100. By 2040, the fiscal gap that year will be roughly 44 per cent of controllable government revenue, 29 per cent of program spending, and the equivalent of over 4 per cent of GDP. In present value terms, the fiscal gap between now and 2040 is equivalent to over $250 billion today. I further find that debt levels are not on a sustainable path, as the long-run debt obligations exceed the government’s future ability to service that debt without significant policy changes. Meaningful action on both spending and revenue can address the province’s financial challenges. I explore various potential options. Without sustained, disciplined, and transparent action today, Alberta faces a precarious fiscal future.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 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".