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Record W1990144352 · doi:10.1017/s0008423913000905

Elite Attitudes on the Centralization of Power in Canadian Political Executives: A Survey of Former Canadian Provincial and Federal Cabinet Ministers, 2000–2010

2013· article· en· W1990144352 on OpenAlexaffabout
J.P. Lewis

Bibliographic record

VenueCanadian Journal of Political Science · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Systems and Governance
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsCabinet (room)Political scienceElitePoliticsHumanitiesPublic administrationArtLaw

Abstract

fetched live from OpenAlex

Abstract. In contemporary Canada, the idea of the powerful first minister is widely acknowledged. The recent debate has focused on Donald Savoie's thesis that the concentration of power to the centre has accelerated and ministers have effectively lost their influence on decision making in cabinet. This article identifies two research gaps. First, the study combines both the experiences of federal and provincial cabinet ministers to construct an understanding of Canadian cabinet decision making at both levels of government. Second, the research investigates the new generation of cabinet ministers; no study has yet consulted ministers of the 2000–2010 decade. Résumé. Dans le Canada contemporain, l'idée du premier ministre puissant est largement reconnue. Le débat récent s'est fixé sur la thèse de Donald Savoie que la concentration de pouvoir au centre a accéléré de le et les ministres ont perdu efficacement leur influence sur la prise de décision dans le cabinet. Cet article identifie deux écarts de recherche. Premièrement, l'étude combine les deux les expériences de ministres fédéraux et provinciaux pour construire une compréhension de prise de décision ministérielle Canadienne aux deux niveaux de gouvernement. Deuxième, la recherche examine la nouvelle génération de ministres – aucune étude a consulté pourtant des ministres de la 2000–2010 décennie.

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)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.672
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.003
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.022
GPT teacher head0.281
Teacher spread0.259 · 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

Citations11
Published2013
Admission routes2
Has abstractyes

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