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Record W2142357111 · doi:10.1162/glep_a_00124

Democratizing Regional Environmental Governance: Public Deliberation and Participation in Transboundary Ecoregions

2012· article· en· W2142357111 on OpenAlex
Andreas Klinke

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.

Bibliographic record

VenueGlobal Environmental Politics · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicEnvironmental law and policy
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsDeliberationCorporate governanceEnvironmental governanceNormativeArgument (complex analysis)PersuasionPoliticsPublic participationPolitical sciencePublic administrationSociologyBusinessLaw

Abstract

fetched live from OpenAlex

Over the last two decades, transboundary regional environmental governance has witnessed some institutional change through an increasing shift from intergovernmentally constituted political institutions to new complex structures of decision-making where policy-making has begun to adapt to a new, more active role of societal actors at multiple levels of political authority. In addressing this issue, the article raises the following questions: How can new structures and processes of public deliberation and participation in transboundary regional environmental governance be designed, and which opportunities and risks emerge? To address these questions, the article develops a normative-analytical design for regional environmental governance in ecoregions; this design defines the conditions under which public deliberation and participation conveying discourse, argument, and persuasion can help to democratize collective decision-making.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.314
Threshold uncertainty score0.884

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 studies0.0010.001
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 head0.024
GPT teacher head0.294
Teacher spread0.270 · 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