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Record W4285388102 · doi:10.1093/jnlids/idac016

Reconsidering International Compensation in Historical Context

2022· article· en· W4285388102 on OpenAlexafffund
Ashley Barnes

Bibliographic record

VenueJournal of International Dispute Settlement · 2022
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInternational Arbitration and Investment Law
Canadian institutionsUniversity of Toronto
FundersSocial Sciences and Humanities Research Council of CanadaUniversity of Toronto
KeywordsCompensation (psychology)Context (archaeology)Meaning (existential)International lawLawPolitical scienceInternational arbitrationCollateralWork (physics)Law and economicsArbitrationSociologyHistoryEpistemologyEngineeringPhilosophyPsychology

Abstract

fetched live from OpenAlex

Abstract There is growing interest in the push for individuals to seek direct remedies, notably compensation, for violations of international law. Yet, there is more for scholars to glean from the historical antecedents of compensation for individuals as a recurring idea in international law. The notion of ‘international claims’ can be traced back to the late 18th century. International claims commissions began as ad hoc arrangements that tended to follow wars. In contrast to existing historical accounts, however, the author shows there is more at work in the international law precedents for present-day mass claims than a simple rise and fall of a single idea of compensation, with the occasional isolated contemporary resurfacing. The author contends instead that the history of compensation is deeply linked to its context—meaning different things in different periods—and reflected in four models of compensation (Collateral Private Claims, Arbitration–Diplomatic Protection, Reparations and Institutional-Transition).

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.762
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.041
GPT teacher head0.240
Teacher spread0.199 · 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 designNot applicable
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

Citations0
Published2022
Admission routes2
Has abstractyes

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