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Record W4256168134 · doi:10.1080/13876980108412662

Learning from experience? Ottawa as a cautionary tale of reforming Urban government

2001· article· en· W4256168134 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

VenueJournal of Comparative Policy Analysis Research and Practice · 2001
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsCarleton University
Fundersnot available
KeywordsGovernment (linguistics)Political sciencePhilosophyLinguistics

Abstract

fetched live from OpenAlex

Abstract This article examines the saga of local government restructuring in Canada's capital city. Specifically, it analyzes the interplay between provincial and local agendas for local government reform over many years, which culminated in provincial legislation and a one‐year transition process to establish one municipality for the Ottawa city region. In doing so, the article addresses the extent to which the Ottawa transition demonstrates learning from other major urban restructuring efforts and the extent to which the Ottawa case provides new insights for future local government reform efforts. Key conclusions are that the key motivation for provincially initiated reform—cost saving through simplification of the local government structure in Ottawa—does not fully coincide with local needs and interests. Furthermore, the promise of financial savings has proven difficult to realize as a result of the local politics surrounding existing municipal debt and unresolved human resource management costs. Instead, future benefits from the amalgamation may lie in improved capacity to manage physical development, environmental sustainability, and cultural diversity.

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)0.004
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.510
Threshold uncertainty score0.889

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0010.001
Scholarly communication0.0000.001
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 head0.158
GPT teacher head0.517
Teacher spread0.359 · 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