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Record W1508697408 · doi:10.58948/0738-6206.1637

Climate Adaptation Policy at the Continental Level: Natural Resources in North America and Europe

2010· article· en· W1508697408 on OpenAlexaboutno aff
Paul Stanton Kibel

Bibliographic record

VenuePace Environmental Law Review · 2010
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicClimate Change Policy and Economics
Canadian institutionsnot available
Fundersnot available
KeywordsAdaptation (eye)Climate change adaptationNatural resourceNatural (archaeology)Climate changeEnvironmental scienceEnvironmental resource managementEnvironmental protectionGeographyNatural resource economicsClimatologyGeologyEcologyOceanographyEconomicsArchaeology

Abstract

fetched live from OpenAlex

This article assesses the extent to which the concepts of climate proofing and climate policy coherence have found expression in continental natural resource regimes established in North America and Europe. The article first examines the recognition of these concepts within three North American crossborder regimes directly impacted by climate change: the Waters Treaty between Mexico and the United States; the Pacific Salmon Treaty between Canada and the United States; and the North American Waterfowl Management Plan between Canada, Mexico and the United States. Next it considers the extent to which these concepts are reflected in recent European initiatives related to water resources, transboundary watercourses and the Danube River Basin. The article concludes with a comparative assessment as to why the pace and scope of continental climate adaptation policy in North America and Europe has differed.

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.057
Threshold uncertainty score0.113

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0020.003
Scholarly communication0.0070.004
Open science0.0010.003
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.041
GPT teacher head0.232
Teacher spread0.190 · 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 designNot applicable
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

Citations0
Published2010
Admission routes1
Has abstractyes

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