Impacts of Quebec's 2010 Budget on the Province's Tax Burden (Le Budget 2010 du Québec: Effets sur la taille et la progressivité du fardeau fiscal)
Bibliographic record
Abstract
Tax measures announced in the latest Quebec budget strike a balance between good economic outcomes and attention to fairness in how tax burdens are shared. The author assesses Quebec’s budget measures according to their impacts on the tax burden and how well provincial taxes match citizens’ abilities to pay. Despite the fact that the new tax measures are imperfectly geared to income, the alternative of confining the burden of required tax increases to fewer, higher income individuals would carry a high economic cost. Quebecers are already among the highest taxed in the country while Quebec’s tax system is the most progressive. The budget proposals will raise taxes, widening the gap with the rest of Canada, yet the tax system will remain more “progressive” than that of most other provinces. All in all, the budget measures are a reasonable compromise between distributional fairness and sound economic outcomes.
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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 | 0.006 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.006 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 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".