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Record W2254381136

Differences in Regime and Structure within an Ecological Region: Comparing Environmental Governance in the Portland-Vancouver Metropolitan Area

2011· article· en· W2254381136 on OpenAlexaboutno aff
Paul Thiers, Mark Stephan, Alexander C. Walker

Bibliographic record

VenueSSRN Electronic Journal · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicPublic Policy and Administration Research
Canadian institutionsnot available
Fundersnot available
KeywordsMetropolitan areaCorporate governanceStakeholderContext (archaeology)Environmental governanceCollaborative governanceEcologyGeographyPolitical scienceEnvironmental planningPublic administrationEconomic geographyEnvironmental resource managementEconomicsPublic relationsManagement
DOInot available

Abstract

fetched live from OpenAlex

This paper is a preliminary report from one part of a collaborative effort among social and natural scientists from four universities designed to investigate the relationship between human and ecological systems in the context of local governance. The paper begins with an overview of the Portland-Vancouver ULTRA project and the role of political science within the project’s theoretical orientation. The substantive portion of the paper considers the utility of Urban Regime Theory for understanding local environmental governance. The unusual characteristics of the Portland Metropolitan region, a single economic and ecological region with a bifurcated state and local governance structure, provide an opportunity to compare very different urban regimes in a single region. The analysis, based on stakeholder interviews and secondary source review, gives particular attention to the role of different state government policy contexts in shaping and supporting different urban regimes. We find that Portland exhibits a stable, progressive “smart-growth” regime while Vancouver (and Clark County) is in a period of fragmentation without a stable urban regime. More significantly, we find that both of these realities are best explained through reference to the differing state level regulatory contexts in which they exist. We conclude with some preliminary observations from on-going stakeholder interviews that we hope to use to develop hypotheses for the next stages of the project.

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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.269
Threshold uncertainty score0.741

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 integrity0.0000.001
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 head0.060
GPT teacher head0.302
Teacher spread0.242 · 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

Citations4
Published2011
Admission routes1
Has abstractyes

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