Extraction Drives Strong Productivity Growth
Bibliographic record
Abstract
The report, based on the CSLS Provincial Productivity Database, provides an overview of Newfoundland’s productivity performance over the 1997-2007 period. The key findings are the following: • Newfoundland experienced strong labour productivity growth in the market sector from 1997 to 2007, with an average annual growth rate of 4.8 per cent, almost three times the national average of 1.7 per cent. In terms of labour productivity growth, Newfoundland’s performance ranks 1st among the provinces. • Labour productivity growth in the province was driven mainly by multifactor productivity growth, which accounted for 85.9 per cent of the increase experienced over the 1997-2007 period. Capital intensity growth and labour quality growth played minor roles, accounting for 7.9 per cent and 5.5 per cent (respectively) of labour productivity growth • Newfoundland’s labour productivity level in 2007 was $39.60 (1997 dollars) per hour, which represents 109.7 per cent of the Canadian level (which, in turn, implies a positive labour productivity differential of 9.7 percentage points), up from 81.2 per cent in 1997. The province had the highest labour productivity level among all the ten provinces in 2007.
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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 | 0.002 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.020 | 0.006 |
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".