The Stylized Facts about Slower Productivity Growth in Canada
Why this work is in the frame
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Bibliographic record
Abstract
Productivity growth in the Canadian economy has been considerably slower in the post-2000 period than in the pre-2000 period, with important implications for the growth in the living standards of Canadians. Output per hour in the business sector in Canada advanced at a 0.9 per cent average annual rate from 2000 to 2016 compared to 1.6 per cent from 1981 to 2000. The objective of this article is to highlight the stylized facts of this important development. It first examines trends in both labour productivity and total factor productivity (TFP) at the aggregate level. It discusses growth accounting estimates of changes in the sources of labour productivity growth. Labour and total factor productivity estimates are provided for 15 industries, highlighting which industries experienced the largest slowdown in absolute terms and the industry contributions to the slowdown. Manufacturing is found to be the industry making the largest contribution to both the labour productivity and TFP slowdowns. Contributions of within-industry productivity growth and re-allocation effects to aggregate productivity growth are also examined.
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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 | 0.002 | 0.002 |
| 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 | 0.001 |
| Open science | 0.001 | 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