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Record W2120416102 · doi:10.7202/1017151ar

Les programmes d’infrastructures municipales du gouvernement fédéral : une analyse de la gouvernance multiniveau au Canada

2013· article· fr· W2120416102 on OpenAlexaffvenueabout
Éric Champagne

Bibliographic record

VenueTélescope Revue d’analyse comparée en administration publique · 2013
Typearticle
Languagefr
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsPolitical scienceHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Les programmes d’infrastructures municipales du gouvernement fédéral illustrent l’évolution de la gouvernance multiniveau dans le contexte canadien car ils sollicitent un partage de responsabilités entre les trois ordres de gouvernement : fédéral, provincial et municipal. Dans le cadre de cette étude, nous nous intéressons à la portée de ces programmes sur la dynamique intergouvernementale dans une perspective tripartite. Notre analyse se veut un bilan historique des instruments de politiques publiques et des arrangements institutionnels en matière de dépenses en infrastructures. La première question de recherche porte sur la résilience de la gouvernance multiniveau : ces programmes ont-ils un caractère permanent ou pourraient-ils facilement être abolis selon la conjoncture politique ? La seconde a trait aux instruments de politiques publiques : quels sont les arrangements institutionnels et la forme des pactes intergouvernementaux mis en place pour permettre au gouvernement fédéral d’intervenir dans le secteur des infrastructures municipales ? Pour analyser les instruments, une typologie comprenant trois modèles de financement est développée.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.223
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.019
GPT teacher head0.308
Teacher spread0.289 · 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 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

Citations7
Published2013
Admission routes3
Has abstractyes

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