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Record W2065989902 · doi:10.1002/pad.386

The governance of metropolitan areas in Canada

2005· article· en· W2065989902 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenuePublic Administration and Development · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Systems and Governance
Canadian institutionsWestern University
Fundersnot available
KeywordsMetropolitan areaCorporate governanceGovernment (linguistics)Regional sciencePublic administrationLocal governmentPolitical scienceBusinessGeographyFinance

Abstract

fetched live from OpenAlex

Abstract This article briefly examines five significant Canadian developments with respect to the governance of metropolitan areas: annexations and mergers such that there is one main municipal government for the metropolitan area, two‐tier metropolitan government, the amalgamation of two‐tier metropolitan systems into a single municipality, demergers in Quebec, and the creation of flexible and innovative entities for metropolitan governance. Special attention is paid to the Greater Toronto Area, a continuous built‐up urban area that transcends at least three metropolitan areas as defined by Statistics Canada. In the absence of any authority covering the entire metropolitan area, it now appears that the Ontario provincial government is becoming the key policy maker. As an example of a flexible and innovative form of metropolitan governance, the Greater Vancouver Regional District merits attention elsewhere in the world. Canada's experiences with so many different institutional arrangements in recent years means that there is much to be learnt from their obvious failures and occasional successes. Copyright © 2005 John Wiley & Sons, Ltd.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.949
Threshold uncertainty score0.894

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.021
GPT teacher head0.273
Teacher spread0.252 · 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