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Record W1797370817

Speaking Truth to Power? The Search for Bureaucratic Independence

2005· article· en· W1797370817 on OpenAlexaffabout
Lorne Sossin

Bibliographic record

VenueSSRN Electronic Journal · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Law and Evidence
Canadian institutionsYork University
Fundersnot available
KeywordsBureaucracyPolitical scienceDiscretionContext (archaeology)PoliticsIndependence (probability theory)Public administrationSeparation of powersGovernment (linguistics)Law and economicsLawSociology
DOInot available

Abstract

fetched live from OpenAlex

For government to be effective and to serve the public interest, politicians and bureaucrats must often work in tandem, hand in glove, especially in the development and implementation of public policy. At such times, the separation between the political and the bureaucratic functions is fluid and porous, and the executive branch of government is characterized by the interdependence of these political and bureaucratic spheres. At other times, a virtually impenetrable wall insulates the bureaucratic from the political sphere, as in the context of prosecutorial discretion in the criminal justice context. The questions across these various governmental settings are these: How independent should public servants be from the government of the day, and how can this independence be assured? This article seeks to address these questions about the nature and scope of bureaucratic independence, examine its sources in Canada's constitutional order, and explore its implications for public law and public administration.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.012
metaresearch head score (Gemma)0.032
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.603
Threshold uncertainty score0.799

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.032
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.003
Science and technology studies0.0240.102
Scholarly communication0.0200.011
Open science0.0020.008
Research integrity0.0040.013
Insufficient payload (model declined to judge)0.0070.001

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 head0.032
GPT teacher head0.357
Teacher spread0.326 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2005
Admission routes2
Has abstractyes

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Same venueSSRN Electronic JournalSame topicCriminal Law and EvidenceFrench-language works237,207