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Changing Trends in Regional Economic Development Policy Governance: The Case of Northern<scp>O</scp>ntario,<scp>C</scp>anada

2012· article· en· W1485951093 on OpenAlexaff
Charles Conteh

Bibliographic record

VenueInternational Journal of Urban and Regional Research · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsBrock University
Fundersnot available
KeywordsCorporate governanceMulti-level governancePoliticsRegionalism (politics)Political scienceEconomic systemEconomicsBusinessRegional scienceSociologyManagementDemocracy

Abstract

fetched live from OpenAlex

Abstract This article analyses the changing trends in regional economic development policy delivery in multilevel governance systems. Although the imperatives of coordination of public policy interventions across multiple levels has generally been recognized, not enough attention has been given to how different political systems actually adapt their institutional and policy designs to effectively operate in the emergent complexity of multilevel governance systems. The article focuses on regional economic development policy governance in the province ofOntario,Canada over the past three decades, drawing insights from new regionalism, organization theory and governance literature to examine the prospects and challenges of policy delivery in politically complex multilevel systems. The case study illustrates how regional economic development policy is increasingly dictated by complex environmental and institutional forces of multilevel governance that are shaped by the particular character of a political system.

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)0.006
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.984
Threshold uncertainty score0.508

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.003
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.084
GPT teacher head0.390
Teacher spread0.306 · 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 designQualitative
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

Citations5
Published2012
Admission routes1
Has abstractyes

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