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Record W2072278714 · doi:10.1017/s0008423914000225

Authority Migration and Accountability in Canadian Public Governance

2014· article· en· W2072278714 on OpenAlexaffabout
Robert W Waterman

Bibliographic record

VenueCanadian Journal of Political Science · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicLocal Government Finance and Decentralization
Canadian institutionsWestern University
Fundersnot available
KeywordsAccountabilityPublic administrationCorporate governanceConceptualizationPolitical scienceGovernment (linguistics)PoliticsDemocracyIdeologyLegislationBusinessLaw

Abstract

fetched live from OpenAlex

Abstract In the tradition of democratic theory, elections are recognized as important mechanisms of accountability. However, the migration of public decision-making responsibility away from elected representatives and the emergence of new governance actors necessitate a fuller conceptualization of accountability relationships. As governments pursue partnerships with societal actors and disperse authority across multiple levels, questions of public input and accountability within the democratic governance process arise. In this paper, cases of authority migration in the provinces of British Columbia, Alberta, Ontario and Nova Scotia between the years of 1946 and 2005 are used to examine the accountability relationships between new governance actors and both government and society. The existence and relative strength of accountability relationships are evaluated using the rules stipulated in the provincial legislation. Political ideology of governing parties, geographic scale of new jurisdictions and period in time are evaluated as predictors of the strength of the accountability relationship overall.

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)0.003
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.102
Threshold uncertainty score0.743

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.005
Science and technology studies0.0100.006
Scholarly communication0.0030.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.289
Teacher spread0.269 · 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 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

Citations2
Published2014
Admission routes2
Has abstractyes

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