What Has Happened to Middle-Class Earnings? Distributional Shifts in Earnings in Canada, 1970-2005*
Bibliographic record
Abstract
This paper examines how middle-class earnings in Canada have changed between 1970 and 2005 using Census microdata. Middle-class earnings are defined as workers’ earnings between 50 and 150 percent of the median or as earnings between the 20th and 80th percentile earnings. The analysis looks at the proportion of workers (“workers’ share†) with middle-class earnings and the proportion of earnings (“earnings share†) received by middle-class workers. The study finds: (i) there has been a marked decline of full-time full-year middle-class workers and corresponding marked increases of higher- and lower-earning workers in the Canadian workplace; (ii) there has been an even larger shift in earnings with middle-class workers losing out to strong earnings gains of higher-earning workers; and (iii) the majority of the decline of the middle-class earnings share was due to the fall in their workers’ share for male and for full-time full-year female workers.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.004 | 0.010 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".