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Record W2054122477 · doi:10.7202/1023838ar

Favoriser l’innovation dans l’élaboration des politiques : un nouveau rôle pour les politiciens

2014· article· fr· W2054122477 on OpenAlexvenueno aff
Eva Sørensen

Bibliographic record

VenueTélescope Revue d’analyse comparée en administration publique · 2014
Typearticle
Languagefr
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceHumanitiesArt

Abstract

fetched live from OpenAlex

Dans de nombreux pays occidentaux, l’innovation dans le secteur public grimpe au sommet des préoccupations de la recherche et des réformes. L’innovation est de plus en plus vue comme l’une des principales manières d’améliorer l’efficacité et le rendement de la prestation des services publics, mais la nécessité de l’innovation sur le plan des politiques a été largement ignorée. Elle représente pourtant un aspect crucial de l’innovation dans le secteur public. De nouvelles avenues au sein de la théorie de l’innovation et de la théorie de la gouvernance soulignent le rôle important de la collaboration dans la promotion de l’innovation, tant dans le secteur public que privé. Cependant, les efforts consentis afin d’augmenter la capacité du secteur public à mettre en oeuvre des projets de collaboration innovante en matière de politiques nécessitent le développement d’un nouveau rôle pour les politiciens, comme l’illustrent deux études de cas danois portant sur de tels projets et présentées dans cet article.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.810
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.004
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.053
GPT teacher head0.343
Teacher spread0.290 · 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.

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

Citations2
Published2014
Admission routes1
Has abstractyes

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