Transfer of Technology to <scp>C</scp>anadian Manufacturing Industries Through Patents
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
This paper examines the determinants of foreign patent activity in the C anadian manufacturing sector at the industry level. Since foreign patenting is one of the channels of technology transfer to a country, this study could also show the transfer of foreign technology into C anadian industries measured by foreign patent activity. The paper suggests that the patent activity of foreign countries is the most important factor for receiving foreign patents in C anada. Moreover, imports and foreign direct investments are important vehicles this context. The distance between countries has a negative impact on receiving foreign patents. The impacts of R & D intensity and human capital on receiving foreign patents are mixed and insignificant, but industries with a higher R & D intensity are better recipients of foreign patents.
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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 | 0.000 | 0.000 |
| 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) | 0.001 | 0.002 |
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