The distribution of wealth in Canada : its existing pattern and changing trend
Bibliographic record
Abstract
The aim of this thesis is to investigate the existing pattern and changing trend of the distribution of wealth in today's Canada. In doing so I explore both theoretical accounts and empirical evidence. First, the theoretical perspectives of both classical (Marx, Durkheim, and Weber) and contemporary (Blumberg, Westergaard and Resler, Porter, and Clement) social thinkers were discussed. The objective of this review was to describe the sociological interpretations and explanations of the distribution of wealth. Second, existing evidence was reviewed and new data was gathered on the wealth distribution in Canada. The existing data came from Osberg, Hunter, Vaillancourt, Rashid, and Oja. New data concerning such issues as welfare state, income disparity, and important wealth components was examined to augment the previously existing data. The Canadian wealth distribution proved to be unequal and to have become slightly more unequal over time. The concluding chapter briefly reviews possible explanations for this set of findings.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.007 | 0.024 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.004 | 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".