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Record W1585181106

Regional innovation system and economic competitiveness: The case of British Columbia

2012· article· en· W1585181106 on OpenAlex
Marcelo André Machado

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenuePortland International Conference on Management of Engineering and Technology · 2012
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicGlobal Trade and Competitiveness
Canadian institutionsKwantlen Polytechnic University
Fundersnot available
KeywordsSophisticationProductivityColumbia universityUnit (ring theory)BusinessInnovation managementEconomyRegional scienceEconomic growthEconomicsMarketingGeography
DOInot available

Abstract

fetched live from OpenAlex

According to the World Economic Forum (WEF), Canada has the world's twelfth most competitive economy. Nevertheless, it is not presumptuous to think that The Country is not achieving its full potential. Canada is somewhat an underperformer when it comes to innovation and business sophistication. To boost Canada's innovation performance is paramount to improve Canada's competitiveness and ultimately the maintenance of Canada amid the World's most developed economies. The main objective of this study is to investigate Canada's innovation capabilities focusing on a smaller unit of analysis - British Columbia. This paper includes a thorough literature review linking innovation, productivity, and economic competitiveness. Secondly, this study investigates the current status of innovation in British Columbia. Lastly, this study makes recommendations to be applied to British Columbia aiming at helping improving Canada's innovation performance.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.932
Threshold uncertainty score0.280

Codex and Gemma teacher scores by category

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

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.

Opus teacher head0.018
GPT teacher head0.212
Teacher spread0.194 · 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