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Record W2791039420 · doi:10.1163/2211906x-00701008

Financing Sustainable Landscapes through Innovative International Economic Law and Governance Instruments

2018· article· en· W2791039420 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

VenueGlobal Journal of Comparative Law · 2018
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInternational Arbitration and Investment Law
Canadian institutionsUniversity of Waterloo
FundersCritical Ecosystem Partnership Fund
KeywordsFinanceCorporate governanceInvestment (military)CommissionSustainabilitySettlement (finance)BusinessSustainable developmentPolitical scienceLawPolitics

Abstract

fetched live from OpenAlex

This article examines innovative ways to promote investment and financing of sustainable landscape initiatives in international law. It argues that increased flows of investment and finance for sustainable landscapes must be guided by a clear and comprehensive legal framework; better and more appropriate knowledge and technologies; more informed decision-making; and improved governance at all levels. The article considers concerns and opportunities to support the financing of sustainable forestry and land-use programs, especially in developing countries. It reviews the key contributions of international investment instruments to sustainability landscapes financing, in light of recent decisions concerning International Investment Agreements ( iia s) by arbitral panels convened to hear disputes under the rules of the International Centre for Settlement of Investment Disputes ( icsid ) or the United Nations Commission on International Trade Law ( uncitral ). It then proposes innovative ways that investment and financing rules might foster more effective implementation of innovative financing instruments, such as Landscape Funds in developing countries.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.807
Threshold uncertainty score0.491

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 communication0.0000.003
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 head0.016
GPT teacher head0.268
Teacher spread0.253 · 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