The Importance of Innovation for Productivity
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
Innovation is widely recognized as a key ingredient of productivity success. This article by Someshwar Rao, Ashfaq Ahmad, William Horsman, and Phaedra Kaptein-Russell of Industry Canada provides support for this view by finding a strong positive relationship between measures of fundamental innovation, labour productivity and GDP per capita across OECD countries. The authors paint a nuanced portrait of Canada's innovation performance. The existence of an innovation gap with the United States is evidenced by our lower R&D/GDP ratio and the lower rate of patenting by Canadians in the United States, although Canada, perhaps surprisingly, has a greater relative number of R&D personal in the total economy than does the United States. But the innovation gap with the United States appears to have narrowed in the 1990s, due to faster growth in this country in the number of patents by Canadians in the United States and in R&D expenditures relative to GDP.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 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