Industrial Structural Change and the Post-2000 Output and Productivity Growth Slowdown: A Canada-U.S. Comparison
Why this work is in the frame
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Bibliographic record
Abstract
Changing foreign and domestic supply and demand conditions have resulted in shifting industrial structures in the Canadian and U.S. economies. This article examines the contribution of individual industries to real GDP and labour productivity growth in the business sector in 1987-2000 and 2000-2008 in the two countries. It highlights the differences that have emerged through a new decomposition technique that is able to decompose real GDP expressed in chained dollars instead of constant dollars. The contribution of each industry is further decomposed in order to identify the role of quantity and price effects in real economic growth and pure productivity and shift effects in the case of labour productivity. This decomposition is able to more precisely identify the sectors and the underlying forces that have either propelled or hindered economic and productivity growth.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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