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Record W2149481757 · doi:10.1111/1467-8454.12002

Transfer of Technology to <scp>C</scp>anadian Manufacturing Industries Through Patents

2012· article· en· W2149481757 on OpenAlexaff
Rashid Nikzad

Bibliographic record

VenueAustralian Economic Papers · 2012
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Growth and Productivity
Canadian institutionsInnovation, Science and Economic Development Canada
Fundersnot available
KeywordsContext (archaeology)BusinessTechnology transferForeign capitalForeign direct investmentHuman capitalInternational tradeManufacturing sectorManufacturingInternational economicsIndustrial organizationEconomicsMarketingEconomic growth

Abstract

fetched live from OpenAlex

This paper examines the determinants of foreign patent activity in the Canadian 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 Canadian 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 Canada. 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.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesBibliometrics
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.998
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.001

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.

Opus teacher head0.047
GPT teacher head0.235
Teacher spread0.187 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations8
Published2012
Admission routes1
Has abstractyes

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