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Record W1981838407 · doi:10.7202/601479ar

Le secteur public comme premier utilisateur d’innovations

2009· article· fr· W1981838407 on OpenAlexaffvenueabout
Robert Dalpé, Christian DeBresson

Bibliographic record

VenueL Actualité économique · 2009
Typearticle
Languagefr
FieldEconomics, Econometrics and Finance
TopicInnovation Policy and R&D
Canadian institutionsConcordia UniversityUniversité de MontréalUniversité du Québec à Montréal
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Cette étude exploratoire porte sur le rôle de la demande du secteur public au Canada dans l’innovation. On essaie d’estimer le poids du secteur public canadien en tant que 1) premier utilisateur d’innovations; 2) utilisateur d’inventions brevetées par des Canadiens; et 3) acheteur de biens manufacturés. Le secteur public est le premier utilisateur de 25 % des innovations et est un utilisateur potentiel de 13 % des brevets, alors qu’il achète 8 % de la production. L’État a ainsi un pouvoir de marché important, ce qui lui donne un impact significatif sur l’innovation, que les gouvernements appliquent ou non une politique explicite d’achat. Pour mieux comprendre le rôle de la demande publique, plusieurs questions devront être examinées : le pouvoir de marché, la structure industrielle de l’offre, la taille des commandes et les caractéristiques de la demande publique.

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)0.001
metaresearch head score (Gemma)0.001
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.663
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.002

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 head0.127
GPT teacher head0.265
Teacher spread0.138 · 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; both teacher heads agree on what is shown here.

Study designTheoretical or conceptual
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

Citations6
Published2009
Admission routes3
Has abstractyes

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