Wages and labour productivity in Canada : across the provinces and over the ruralurban divide
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Regional economic disparities are a widely noted characteristic of the Canadian economy. This thesis examines regional disparities in terms of wages and labour productivity in the manufacturing sector. Regional disparities are analysed along three dimensions: provinces, rural/urban areas and industrial structure. Various competing theories are discussed and compared to the findings. Shift-share based decomposition analyses the magnitude and pattern of disparity and controls for industrial structure. Weighted regression is used to combine provincial and rural/urban effects. The findings support theories that emphasize provinces as units of analysis. The rural/urban results gave qualified support to urban theory. Accounting for industrial structure impacted both the rural/urban and provincial results. The regression analysis found the rural/urban dimension was significant; however, industrial structure and provincial effects were more significant. These results suggest industrial location and provincial economic policies can influence regional economic disparities in Canada.
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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 it