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Record W2595884241 · doi:10.7202/1038833ar

The Canadian Federal Government and Normativity Transformations: Towards a Reconfiguration of Governmentality in Canada?

2017· article· en· W2595884241 on OpenAlexvenueaboutno aff
Christian Rouillard

Bibliographic record

VenueRevue Gouvernance · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicPublic Policy and Administration Research
Canadian institutionsnot available
Fundersnot available
KeywordsGovernmentalityPublic administrationPoliticsEntitlement (fair division)Government (linguistics)NormativePolitical scienceContext (archaeology)SociologyLaw and economicsEconomicsLaw

Abstract

fetched live from OpenAlex

For several decades, the Canadian federal government has been the subject of many administrative reforms whose nature, scale and resources vary considerably. The frequency of these reforms increased considerably during the 1990s, although political stability on the federal level was particularly high at the time. By using the normativity-governmentality dynamic as a heuristic model, this article focuses on the Public Service Modernization Act (PSMA) to better understand the effects of the transformation of norms on the modes of interactions and power relationships between actors, institutions and social groups in the Canadian public service context. It questions the way in which transformations in normativity change the conditions of governmentality in Canada. The main thesis of this paper argues that the normative flexibility given to managers (by the PSMA) in the staffing process does not lead to a real increase in their room to manoeuvre, due to: 1) the (re)definition of merit (confusion factor); 2) the concomitant implementation of the Financial Administration Act (inertia factor); and 3) the legacy of previous administrative reforms (the one-step-forward, one-step-back factor).

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.438
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.036
GPT teacher head0.319
Teacher spread0.283 · 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

Citations1
Published2017
Admission routes2
Has abstractyes

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