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Environment and Sustainable Development

2019· book-chapter· en· W2980269311 on OpenAlex
Marie‐Claire Cordonier Segger, Alexandra R. Harrington

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

VenueOxford University Press eBooks · 2019
Typebook-chapter
Languageen
FieldEnvironmental Science
TopicInternational Maritime Law Issues
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsTreatyNegotiationCharterPolitical scienceSustainable developmentCorporate governanceGlobal governanceProcess (computing)Environmental governanceLaw and economicsEnvironmental planningBusinessSociologyGeographyLawComputer science

Abstract

fetched live from OpenAlex

Abstract This chapter considers the UN contributions to treaty-making in practice on the environment and sustainable development. It begins with a brief survey of the crafting and “clustering” of multilateral environmental agreements as international responses to emerging global environmental problems. Specifically, this chapter considers the role of the UN in this process, focusing on successive waves of treaty-making over recent decades. It suggests that the UN has played a very important role in negotiations in this field, and continues to serve as a crucial and valuable actor in the implementation and refinement of these treaties and the broader problem-based clusters, in spite of very limited resources. This chapter identifies several key treaties that address a selection of the Sustainable Development Goals (SDGs,) leading to a concluding consideration of how international accords in this field are, in turn, contributing to the UN Charter. It suggests that, without the UN-facilitated treaties, many SDGs could be considered “hollow,” dependent on voluntary collaborations, and devoid of reliable regimes to achieve their targets. Not all relationships are equally integrated. Fragmentation, duplication, unintended overlapping of obligations or even conflicts may exist. As international governance becomes more sophisticated and complex, these interrelated instruments can be negotiated, implemented, and interactionally refined across multiple nested levels. To this end, this chapter argues that adoption of the SDGs may support greater coherence across the UN system.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.996
Threshold uncertainty score1.000

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 science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.008
GPT teacher head0.165
Teacher spread0.157 · 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