Productivity Trends in the Construction Sector in Canada: A Case of Lagging Technical Progress
Why this work is in the frame
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Bibliographic record
Abstract
The productivity performance of the construction sector in Canada over the last quarter century has been dismal, with output per hour lower in 2000 than in 1977. In this article Andrew Sharpe from the Centre for the Study of Living Standards examines productivity trends in this sector and discusses possible factors behind this situation. He notes that two drivers of productivity growth, capital per worker and the skills level of the workforce as represented by educational attainment, have improved markedly in the construction sector in recent years. He explains the stagnation of labour productivity growth despite these favourable trends by a lack of technical progress in the construction sector and, to a lesser extent, measurement problems which underestimate 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 | 0.000 |
| 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