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Production Systems and Innovation in ‘Satellite’ Regions: Lessons from a Comparison between Mechanic Valley (France) and Beauce (Québec)

2011· article· en· W2098950115 on OpenAlexaffabout
Régis Guillaume, David Doloreux

Bibliographic record

VenueInternational Journal of Urban and Regional Research · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsMetropolitan areaEconomic geographyOpenness to experienceContext (archaeology)Political scienceRegional scienceGeographyWelfare economicsEconomyEconomics

Abstract

fetched live from OpenAlex

Abstract The recent craze among policymakers for innovation and regional economic development is no accident. It results from recent, widespread analyses highlighting innovation as the main factor in economic growth and the region as the most appropriate level at which to stimulate and support innovation. This article aims to show how the territorial impact of economic changes in a heightened competitive context has served to (re-)activate interplay between local actors whose ambition is to support and strengthen innovation within regions. It sets out to decode the processes and the mechanisms through which a region develops, the modes of governance established to support and promote these processes and the relationships formed by various actors in a region. We analyse two regions that we describe as ‘satellite’ regions: Mechanic Valley in France and Beauce in Canada. Each of these regions has, over a period of some ten years, seen processes marked both by increasingly strong anchoring in the local territory and by greater openness to the outside, and both have benefited from their relative proximity to the metropolitan areas of Toulouse and Québec, respectively. So we view them as typifying the emergence of new features of territorial development. Résumé L'engouement récent des décideurs politiques pour l'innovation et le développement économique régional n'a rien de fortuit. Il résulte de la diffusion d'analyses récentes qui isolent l'innovation comme facteur principal de la croissance économique d'une part, et de la région comme niveau le plus approprié pour stimuler et supporter l'innovation d'autre part. Cet article a pour objectif de montrer comment l'impact territorial de mutations économiques qui s'expriment dans un contexte concurrentiel exacerbé (ré)activent un jeu d'acteurs locaux dont l'ambition est de soutenir et renforcer l'innovation au sein des régions. Il vise à décrypter les processus et les mécanismes par lesquels une région se développe, les modalités de gouvernance mises en place pour soutenir et favoriser ces processus ainsi que les relations que nouent différents acteurs de la région. L'analyse porte sur des régions que nous qualifions de ‘satellites’: Mécanic Vallée en France et Beauce au Canada. Chacune de ces régions connaît, depuis une dizaine d'années des processus marqués à la fois par un renforcement de l'ancrage territorial local mais aussi par une ouverture vers l'extérieur qui bénéficie de leur proximité relative avec les aires métropolitaines de Toulouse et Québec. Elles nous paraissent ainsi être caractéristiques de l'émergence de nouvelles figures du développement territorial.

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 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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.239
Threshold uncertainty score0.936

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.295
GPT teacher head0.443
Teacher spread0.148 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations18
Published2011
Admission routes2
Has abstractyes

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