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Record W2052505788 · doi:10.3917/reru.122.0215

Structure socio-spatiale des réseaux d'innovation en secteur manufacturier traditionnel d'une ville moyenne

2012· article· fr· W2052505788 on OpenAlexaboutno aff
Mario Carrier, Marius Thériault, Éric Véronneau

Bibliographic record

VenueRevue d’Économie Régionale & Urbaine · 2012
Typearticle
Languagefr
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceGeographyPhilosophy

Abstract

fetched live from OpenAlex

Cet article rend compte des résultats d’une enquête auprès de petites et moyennes entreprises manufacturières de faible et moyenne valeur ajoutée, dans une ville moyenne du Québec ayant connu un succès économique important au cours des trente dernières années. En se basant sur la théorie sociologique de l’encastrement des activités économiques dans les structures sociales, des indicateurs ont été développés pour décrypter la configuration socio-spatiale des réseaux d’affaires tournés vers les activités innovatrices de l’entreprise et la mettre en relation avec sa performance. Les résultats suggèrent que la performance économique des villes moyennes à économie productive dépend d’entreprises qui combinent à la fois un ancrage local de leurs réseaux d’affaires et une ouverture spatiale de ceux-ci bien que, cet ancrage local doit être supporté par une intermédiation institutionnelle relevant notamment d’une proximité géographique et sociale.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.370
Threshold uncertainty score0.736

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0030.002
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0080.001

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 head0.030
GPT teacher head0.261
Teacher spread0.230 · 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 source (direct Gemma or distilled Codex), 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

Citations3
Published2012
Admission routes1
Has abstractyes

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