A Separate Personal Income Tax Collection System For Alberta: Advantages and Disadvantages
Bibliographic record
Abstract
The Province of Alberta has been a participant in the Tax Collection Agreements (TCAs) with\nthe Federal Government covering the personal income tax since their inception in 1962. Under\nthe terms of this agreement, the Federal Government undertakes to collect the Alberta personal\nincome tax at no charge provided that the Government of Alberta agrees to levy its tax within a\ncommonly agreed framework.\n\nThis paper provides an assessment of the overall advantages and disadvantages for Alberta of participating in the Tax Collection Agreement for personal income tax. Its overall conclusion is that TCAs have worked very well in enabling Canadian governments to achieve their shared tax policy objective, while at the same time reducing tax complexity, duplication and cost, and promoting tax harmony. And the new more flexible TCA framework with its tax-on-income\noption, the TCAs should work even better and be able to accommodate the legitimate tax policy objectives of provincial governments that were constrained by the old TCA, which required provinces to levy taxes on the federal basic tax rather than the tax base.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.009 | 0.002 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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".