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Record W7071672913

A Sustainable Seabed Mining Asset Valuation Code Framework

2024· article· en· W7071672913 on OpenAlexaboutno aff

Bibliographic record

VenueeYLS (Yale Law School) · 2024
Typearticle
Languageen
FieldEngineering
TopicMining and Resource Management
Canadian institutionsnot available
Fundersnot available
KeywordsSeabedValuation (finance)United Nations Convention on the Law of the SeaJurisdictionAsset (computer security)HarmConventionInternational law
DOInot available

Abstract

fetched live from OpenAlex

Seabed mining is governed by the United Nations Convention on the Law of the Sea, the Agreement relating to the Implementation of Part XI of the United Nations Convention on the Law of the Sea of 10 December 1982, the Mining Code, domestic laws of member states, and international law. The central tenets of seabed mining law are to develop the industry in accordance with the Common Heritage of Mankind, provide equitable sharing of financial and economic benefits derived from seabed mining activities, and protect and preserve the marine environment. Moreover, seabed mining must be developed and operated to not unduly financially harm land-based mining operations, nor should seabed mining operate at a competitive disadvantage. The International Seabed Authority ("ISA") regulates mining in the Area, defined as the ocean area beyond national jurisdiction. Land-based mineral valuation codes help value minerals fairly, consistently and accurately and provide for the public disclosure of this information to investors. Securities regulators in Canada, the United States, Australia, and several other jurisdictions require valuations based on these mineral asset valuation codes. However, terrestrial mineral valuation code research shows gaps in incorporating environmental, social, and governance factors into financial valuations. The ISA has recommendations on mineral reserves but has not undertaken the work to transform these recommendations into a valuation code. Seabed mining contractors do not need to disclose financial information to the public. This thesis thus answers the following questions: • How might the legal framework for deep-seabed mining finance in the international seabed area be envisioned to enable an environmentally and socially sustainable industry for the low-carbon world? • How does the law shape the financing of seabed mining such that a mineral asset valuation code could be developed to assist contractors with the sustainable exploitation of minerals found on the seabed? This dissertation recommends the ISA develop a sustainable seabed mining asset valuation code, incorporating environmental and social factors into financial valuations. Sustainable development law informs which environmental and social factors to include in such a code. This seabed mining valuation code could apply to all contractors and mining operators, regardless of how they are formed, owned or legally structured. The dissertation develops ten (10) 'principles' that must be addressed in such a seabed valuation code. These principles include the necessity of valuing equitable sharing and the common heritage of mankind, valuing seabed minerals and cash flows more accurately, valuing nature and the circular economy, valuing social equality, publicly disclosing valuations, standardizing valuations to avoid regulatory capture, integrating valuations into all financial arrangements, ensuring data requirements are sufficient, allowing regional approaches, and revising terrestrial mining codes to integrate environmental and social valuations better. This code would ensure that mineral valuations are accurate, consistent and comparable with their land-based mining counterparts.

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)0.007
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.014
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0040.003
Science and technology studies0.0030.005
Scholarly communication0.0100.007
Open science0.0030.004
Research integrity0.0050.004
Insufficient payload (model declined to judge)0.0060.002

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 head0.014
GPT teacher head0.249
Teacher spread0.235 · 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 designTheoretical or conceptual
Domainnot available
GenreMethods

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
Published2024
Admission routes1
Has abstractyes

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