e-brief Ranking the Parties ’ Tax-Cut Promises
Bibliographic record
Abstract
For tax-weary voters, a surprising contrast between the 2006 and 2004 elections has been the political acceptance of cutting taxes. In 2004, the debate was whether to spend money on health care or reduce taxes, with only the Conservatives proposing meaningful tax relief. In this election, the major parties have proposed a variety of cuts to taxes. If anything, this election proves that tax cuts can be popular. However, from a long-term perspective, a key issue is whether the tax relief will substantially improve Canada’s competitiveness by encouraging work and investment. None of the tax proposals in this election are brave policies that would lead to fundamental tax reform. The analysis below suggests that the broad-based income and sales tax cuts being discussed will offer minor improvements to Canada’s competitive advantage in the next five years. The expanding tax-cut menu: The Liberals started the ball rolling with personal and corporate tax relief offered in the November mini-budget. The basic personal exemption rises by $500 and the 16
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How this classification was reachedexpand
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) | 0.000 | 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 teacher head, 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".