MétaCan
Menu
Back to cohort
Record W2090220089 · doi:10.1068/c13133

Global city region governance and multicentered development: a North American perspective

2015· article· en· W2090220089 on OpenAlexaboutno aff
Paul Kantor, Jen Nelles

Bibliographic record

VenueEnvironment and Planning C Government and Policy · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicUrban Planning and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsCollective actionCorporate governancePoliticsRestructuringMulti-level governancePerspective (graphical)Political scienceIntervention (counseling)Scale (ratio)Economic geographyDevelopment economicsPolitical economySociologyGeographyEconomics

Abstract

fetched live from OpenAlex

The impact of governance on multicentered development is examined by surveying the political responses of two leading North American global city regions (GCRs): New York and Toronto. Although both GCRs have experienced very similar policy tensions during recent decades, their process of economic restructuring is strongly mediated by four systemic features in regional governance: concentration of political authority, prevailing social cleavages, civic group resources, and intergovernmental coordination. Differences in these characteristics are found to influence collective action to manage tensions in three major policy areas. Their impact is not entirely cumulative, however. Even though there is evidence that having more of certain governing attributes enhances the possibilities for joint intervention on a regional scale, interaction among system components affects forms of intergovernmental collaboration. Further, the impact of governance systems on collective action also varies with policy area.

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 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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.164
Threshold uncertainty score1.000

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 head0.030
GPT teacher head0.279
Teacher spread0.249 · 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 teacher head, 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

Citations15
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueEnvironment and Planning C Government and PolicySame topicUrban Planning and GovernanceFrench-language works237,207