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Record W2126282956 · doi:10.5172/impp.2004.6.1.50

Regional innovation systems within a federation: Do national policies affect all regions equally?

2004· article· en· W2126282956 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.

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

VenueInnovation · 2004
Typearticle
Languageen
FieldSocial Sciences
TopicRegional Development and Policy
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsUnitary stateNational innovation systemRegional sciencePoliticsProcess (computing)Regional innovation systemState (computer science)Political sciencePerspective (graphical)Economic systemEconomic geographyBusinessEconomyGeographyEconomicsComputer science

Abstract

fetched live from OpenAlex

SummaryThe concept of national innovation systems was first developed to describe the process of innovation in developed economies. The approach has shifted from solely a national perspective to one including regional or local systems. This focus on spatial aspects has two major advantages: it recognizes that innovation is a social process and a geographic process. For federations, the national system of innovation is more complex than that of a unitary system, since there are often provincial/state level institutions and actors that parallel national level institutions and actors. Canada is one of the few true economic and social (as well as political) federations in the developed world. Consequently, it provides a unique laboratory for studies on the processes of innovation in regions and regional innovation systems. This paper reports on the initial results of research on the characteristics of industrial clusters being carried out through the (Canadian) Innovation Systems Research Network – ISRN.

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)0.002
metaresearch head score (Gemma)0.001
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 score0.533
Threshold uncertainty score0.693

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.004
Science and technology studies0.0010.000
Scholarly communication0.0010.001
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 head0.131
GPT teacher head0.387
Teacher spread0.256 · 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