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Record W2053505236 · doi:10.1016/s1449-4035(05)70054-0

Policy Divergence as a Response to Weak International Regimes: The Formulation and Implementation of Natural Resource New Governance Arrangements in Europe and Canada

2005· article· en· W2053505236 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenuePolicy and Society · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicPolicy Transfer and Learning
Canadian institutionsnot available
FundersWorld Bank Group
KeywordsDivergence (linguistics)Convergence (economics)Corporate governanceEconomicsInternationalizationResource (disambiguation)Natural resourceEnvironmental governanceEconomic systemPolitical scienceInternational tradeEconomic growthLaw

Abstract

fetched live from OpenAlex

Abstract This article addresses the issue of convergence and divergence in Europe, and elsewhere, of a specific type of governance arrangement: “Natural Resource New Governance Arrangements” (NRNGAs). Two cases of the development of these regimes in the environmentally-related areas of forest and fisheries management are examined in Europe and North America, focusing on the Canadian experience in the latter case. The findings reveal significant similarities across sectors and countries but little evidence of any larger pattern of policy convergence. While the impetus for the adoption of both these NRNGAs lies in the international and regional realms, without the force of either international law or competitive advantage, consequential pressure for convergence is weak. It is proposed that the reasons for the differences in NGA adoptions thus lie primarily in the interaction of the changing capacities of domestic public and private actors active in the affected resource policy arena: specifically, the interplay between the effect of the internationalisation of resource policy issues, tending to increase private capacities at the expense of the public one, and the declining importance of primary industries, which has the reverse effect.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.639
Threshold uncertainty score0.381

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 head0.013
GPT teacher head0.336
Teacher spread0.323 · 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