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Record W1544184187

Regional Development in the Knowledge Economy

2007· article· en· W1544184187 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

VenueTown Planning Review · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicRegional Development and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsGlobalizationMultinational corporationContext (archaeology)Economic geographyKnowledge economyEconomyCapital (architecture)Regional scienceBusinessEconomicsGeographyMarket economy
DOInot available

Abstract

fetched live from OpenAlex

Regional Development in the Knowledge Economy, Philip Cooke and Andrea Piccaluga (eds), London and New York, Routledge, 2006, 304 pp., £65.00 (h/b only) Regional Development in the Knowledge Economy is a thirteen-chapter text exploring the manifestations of the knowledge economy, originating from the Regional Studies Association conference 'Reinventing Regions in the Global Economy' (2003). An introduction by Cooke sets the context, discussing what he sees as a move from a globalisation of consumption ('Globalisation 1') to a globalisation in which multinational corporations increasingly practise open innovation ('Globalisation 2'). Chapter 2, by Caniels and Romijn, addresses the role played by local knowledge spillovers (LKS) in innovation. Exploring firm-region (micro-meso) interaction, the authors conclude that LKS research has too readily accepted knowledge spillovers as the universal driving force of regional innovation and growth. 'Knowledge-Intensive Industries and Regional Development' by Isaksen analyses the spatial bias of knowledge intensive industries to large and university towns in Norway. Isaksen concludes that firms in mediumsized cities cooperate locally the least and that informal networks, consultants and ICT solutions are more common in the capital. Continuing the theme of spatial patterns and software firms, Weterings and Boschma's chapter looks at the spatial pattern of newly emerging industries using 265 Dutch software firms. At times this chapter lacks depth, for example concluding that software firms perform better when the founder has worked in the sector. 'Constructing Regional Advantage at the Northern Edge' by Coenen and Asheim compares three contrasting Regional Innovation Systems (RIS), concluding with case studies (clusters in Denmark, Canada and Sweden) that show that the successful construction of an RIS takes place within a dynamic, broad and active triple-helix. Studying three biotech clusters in the USA, Renko's chapter shows that small biotech firms source market knowledge from a variety of stakeholders and that geographybased differences in sourcing market knowledge are virtually non-existent. Continuing the biotechnology theme, 'Knowledge Access at Distance' by Fontes is concerned with addressing what is happening outside major biotech agglomerations. Using Portuguese NBFs, Fontes concludes that the co-location of firms is not crucial to success as long as firms create 'alternative forms of proximity'. While this chapter is insightful, the poor English renders it difficult to digest. …

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)0.004
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: Other · Consensus signal: none
Teacher disagreement score0.797
Threshold uncertainty score0.316

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
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 head0.122
GPT teacher head0.406
Teacher spread0.283 · 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