Final, Unalterable (and Up for Negotiation): Federal-Provincial Transfers in Canada
Bibliographic record
Abstract
Federal transfers are a central but ever-changing feature of Canada's federation. Despite early hopes that transfer arrangements were "a final and unalterable settlement" of provincial demands, complex economic and political pressures forced successive governments to negotiate. To explore this history and Canada's various transfer programs, I compile uniquely detailed data from Confederation to today. Explicit transfers to provincial governments are large, but more equally distributed today than throughout most of Canada's history. I also propose a uniform methodology to quantify and analyze both explicit and implicit fiscal transfers. Overall, federal tax and spending activities redistribute just under 2 per cent of Canada's GDP across provinces; but this too is less than any point in the past six decades. This data, analysis and brief historical review reveal why today's transfer programs are designed as they are, what pressures they must withstand, and what future reforms might consider.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.012 |
| Science and technology studies | 0.009 | 0.004 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".