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Record W3005154324 · doi:10.1017/s0032247419000779

Reflections on the role of due diligence in clarifying State discretionary powers in developing Arctic natural resources

2020· article· en· W3005154324 on OpenAlexaffabout
Nigel Bankes

Bibliographic record

VenuePolar Record · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsState responsibilityDue diligenceJurisdictionHarmPolitical scienceContext (archaeology)Natural resourceLawBusinessInternational lawLaw and economicsJurisprudenceSociologyGeography

Abstract

fetched live from OpenAlex

Abstract This article argues that the concept of diligence provides a useful role in clarifying (and perhaps narrowing) the discretionary powers of the State with respect to the development of natural resources. The claim has two branches. First, the concept of due diligence plays an important role in bridging the normative gap between the harms caused by private actors and the international law of State responsibility. It is the vehicle by which States can be made to assume responsibility for private developments within their jurisdiction and control that cause harm to other States. Second, the concept of due diligence plays an important role (a “generative role”) in teasing out the detailed logical implications of more abstract primary norms such as the duty of prevention. These derivative duties include the duties to make a preliminary assessment of whether the proposed activity may cause a risk of significant transboundary harm: to conduct an environmental impact assessment (EIA) if there is a risk of significant harm and, if the EIA confirms that risk, to notify and consult with respect to possible measures to prevent or mitigate that risk. The article demonstrates both of these claims through an examination of the jurisprudence of the International Court of Justice, the International Tribunal for the Law of the Sea and arbitral awards. Finally, the article applies these claims in the context of possible resource developments in Alaska, British Columbia and Yukon that may have transboundary implications.

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 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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.264
Threshold uncertainty score0.986

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.050
GPT teacher head0.345
Teacher spread0.295 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations6
Published2020
Admission routes2
Has abstractyes

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