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Record W3122022020

Innovation Policy in Canada: A Holistic Approach

2017· article· en· W3122022020 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueC.D. Howe Institute Commentary · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsGovernment (linguistics)ExcellenceIntellectual propertyEntrepreneurshipCLARITYPublic policyCompetition (biology)BusinessMarketingPublic relationsEconomicsEconomic growthPolitical scienceFinance
DOInot available

Abstract

fetched live from OpenAlex

Canada is widely considered to be an innovation under-achiever, despite decades-long attempts to address this gap. In light of this criticism, this Commentary reviews the range of policy tools that governments in advanced economies have at their disposal to foster innovation. It takes a holistic approach to innovation policy in that many of the policy areas covered in this report are not primarily designed to spur innovation per se, but nevertheless can have a significant impact on it. Innovation policy is less likely to succeed if it does not carefully integrate measures affecting the four essential ingredients of talent and knowledge, entrepreneurship and business growth, innovation in government, and clarity of purpose for government support. This entails, but is not limited to, adopting government framework policies to encourage innovation, such as a pro-innovation tax system, trade policy, intellectual-property regime, competition policy, and approach to regulation, as well as fostering acceptance of innovation in civil society and the general public. Key areas for potential improvement, ultimately contributing to raising Canadians’ standards of living, include: • a greater focus on research and educational excellence, and on deploying and attracting related talent and skills, including those beyond scientific and engineering skills, such as marketing and business; • a suite of trade, fiscal, regulatory and other policies and approaches to: 1) foster entrepreneurship and economic activity based on existing talent, skills and this research; 2) facilitate the risk-taking – and acceptance of risk-taking – that such activities entail; and 3) remove unnecessary barriers to these activities; • innovation in the delivery of public services themselves; and • a more goals-oriented approach to government support for business innovation that nevertheless relies more on market and other arm’s length mechanisms, as well as international collaboration in some areas, to achieve desired goals. The ultimate motivation for wanting to improve Canada’s innovation performance is simple: to improve Canadians’ overall standards of living.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.453
Threshold uncertainty score0.818

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 studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.076
GPT teacher head0.335
Teacher spread0.260 · 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