Bibliographic record
Abstract
This paper presents new homogeneous series on top shares of income from 1920 to 2000 in Canada using personal income tax return data.Top income shares display a U-shaped pattern over the century, with a precipitous drop during World War II, followed by a slower decline until 1970.Since the late 1970s, top income shares have been increasing steadily and the very top shares are now as high as in the pre-war era.As in the United States, the recent increase in top income shares is the consequence of a surge in top wages and salaries.As a result, series on the composition of incomes within the top income groups from 1946 to 2000 show a dramatic increase in the share of wages and salaries.The parallel evolution of top income shares in Canada and the United States, associated with much more modest marginal tax rate cuts in Canada, suggests that the upward trend in top shares in Canada since the late 1970s cannot be explained by tax cuts.Further evidence suggests that the upward trend in Canada derives from the United States, perhaps because many Canadians have an emigration option.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.009 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".