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Record W2798122202 · doi:10.3917/reru.182.0417

Les pôles de compétitivité wallons

2018· article· fr· W2798122202 on OpenAlex
Claire Dujardin, Florian Mayneris

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.

Bibliographic record

VenueRevue d’Économie Régionale & Urbaine · 2018
Typearticle
Languagefr
FieldEconomics, Econometrics and Finance
TopicGlobal trade and economics
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsHumanitiesPolitical scienceEconomicsPhilosophy

Abstract

fetched live from OpenAlex

Cet article étudie l’impact de la politique wallonne des Pôles de compétitivité sur les performances économiques des entreprises financées. Sont considérés en particulier les effets sur la productivité, l’emploi et les exportations. L’analyse se base sur des micro-données d’entreprises couvrant l’ensemble des entreprises wallonnes et bruxelloises, pour la période 2003-2011. Nous recourons à des doubles et triples différences et à des méthodes de matching afin de solutionner les biais de sélection et de simultanéité. Les résultats suggèrent que, si la politique a bien sélectionné des entreprises plus performantes, elle n’aurait eu d’impact significatif ni sur la productivité, ni sur la valeur des exportations des entreprises bénéficiaires. Par contre, l’entrée dans le dispositif des Pôles coïnciderait avec une légère augmentation de l’emploi des entreprises financées et de leur valeur ajoutée brute l’année d’entrée dans le pôle, ainsi qu’avec une diversification de leur portefeuille de produits exportés. Classification JEL : C23, R10, R11, R58

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.859
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0040.008

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 head0.075
GPT teacher head0.232
Teacher spread0.158 · 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