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Record W3095775057

Global Adaptation Law: Optimizing Legal Design for Multi-Level Public Goods after the Paris Agreement

2018· article· en· W3095775057 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSSRN Electronic Journal · 2018
Typearticle
Languageen
FieldPhysics and Astronomy
TopicSpace exploration and regulation
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPublic goodAdaptation (eye)Collective actionCorporate governanceExternalityPsychological resilienceClimate changePolitical scienceGlobal public goodEconomicsPublic economicsEconomic systemBusinessLawMicroeconomics
DOInot available

Abstract

fetched live from OpenAlex

The increasingly severe and irreversible effects of climate change around the world make adaptation to a changing climate an immediate and urgent global priority, as the Paris Agreement on Climate Change acknowledged. Yet adaptation investment — to make communities and ecosystems more resilient to climate change — has been slow to materialize. Closing the finance gap and rising to the challenge of adaptation requires two conceptual shifts in how we think about adaptation law and governance. The first is that optimal adaptation is a public good, much like a healthy climate or safe streets. Everyone is better off in a resilient community that can thrive despite climate impacts, whether they contributed to resilience or not. This means adaptation investment will likely continue to be underprovided by the market in the absence of an effective legal regime. The second is that adaptation is not merely a local matter, though it is still largely treated as such. In several important scenarios, it will also be an international public good requiring international cooperation. Parties to the Paris Agreement seemingly recognized this when they described adaptation as a “global challenge” with “local, subnational, national, regional and international dimensions.” However, they did not consider what this means in practical terms for law and governance, and the literature is still largely silent on this issue. This Article seeks to move the analysis forward. It makes three principal contributions. First, building on economic analysis of collective action problems, externalities, and public goods, it develops a novel analytical framework to examine the adaptation challenge and similar cross-cutting legal issues. In particular, it re-conceptualizes climate adaptation as a multi-level public good — with domestic, transboundary, and global dimensions. Second, it explores the implications of this conceptual shift for institutional and legal design at each level of governance. It considers the efficacy of different market-based mechanisms (Coasean private contracting) and prescriptive regulation in the light of this framework and explores the distinctions between the domestic and the international realms. Third, it proposes a multi-level governance model that could help produce what I call “optimal adaptation” and identifies three priority areas for institution-building in the transboundary setting, which poses particular challenges for legal design. This framework will open avenues for more granular and critical study of the legal design and contracting required to rise to the challenge of multi-level public goods.

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)0.001
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.978
Threshold uncertainty score0.402

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.062
GPT teacher head0.296
Teacher spread0.233 · 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