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Record W4286007496 · doi:10.1017/cyl.2022.13

The Changing “Landscape” of Sovereignty Viewed through the Lens of International Tax: Reterritorializing the Offshore

2022· article· en· W4286007496 on OpenAlexvenueno aff
Gail Lythgoe

Bibliographic record

VenueCanadian Yearbook of international Law/Annuaire canadien de droit international · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Law and Human Rights
Canadian institutionsnot available
Fundersnot available
KeywordsSovereigntyInternational lawLawState (computer science)Law of the seaPolitical scienceMunicipal lawSociologyLaw and economicsPolitics

Abstract

fetched live from OpenAlex

Abstract This article reviews the “gaps” that allow for the creation of the “offshore” in international law and argues that these are instead constituted by constraints on our spatial imaginary of law than by any “real” gaps between state jurisdictions. The modern practices of sovereignty by states and non-state actors are at odds with the implicit geography of international law that assumes a static and fixed concept of territory. By rethinking the relevant legal spaces of international law and the sovereign practices that constitute the supposedly deterritorialized offshore, we can see that the offshore is actually onshore somewhere; we can reterritorialize the supposed deterritorialized competences. This article identifies a desynchronization between state territories and the actual exercise of sovereignty that presents as pseudo deterritorialization. Yet if both the concept of sovereignty and the implicit geography of international law confirm and reinforce one another in international law discourse, international lawyers are blind to the changing “landscape” of sovereignty in international law.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
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 score0.893
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0030.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.013
GPT teacher head0.248
Teacher spread0.236 · 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.

Study designTheoretical or conceptual
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

Citations2
Published2022
Admission routes1
Has abstractyes

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