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Record W4405041814 · doi:10.1017/9781108767651.014

The View from the US Leviathan

2024· book-chapter· en· W4405041814 on OpenAlexaboutno aff
John Fabian Witt

Bibliographic record

VenueCambridge University Press eBooks · 2024
Typebook-chapter
Languageen
FieldSocial Sciences
TopicGlobal Peace and Security Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsLEVIATHAN (cipher)Computer scienceComputer security

Abstract

fetched live from OpenAlex

Histories of international law more or less follow the epistemic position of the jurisdiction in which they arise. The parochial anglophone student of the comparative literature in the history of international law instantly sees a version of this phenomenon in action. With notable exceptions, even sophisticated work in the history of international law in the US is importantly different from English-language work in the same field that has begun to pour out from scholars based in the UK, Australia, New Zealand, Canada and elsewhere. In this chapter, I propose that this is because US scholars since at least the Second World War have taken up the history of international law through a set of questions and presuppositions structured by a standpoint inside the leviathan. The most powerful player on the international stage – the United States – has exerted a gravitational pull on scholars writing the history of international law and on the functions that such histories serve. In recent years, however, the cross-border professionalisation of the field is helping produce histories increasingly further afield from, or at least in a newly complex relationship with, the epistemic domination of the hegemon.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.026
Threshold uncertainty score0.067

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.009
Scholarly communication0.0060.004
Open science0.0000.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0070.001

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 head0.021
GPT teacher head0.226
Teacher spread0.205 · 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 designNot applicable
Domainnot available
GenreOther

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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Same venueCambridge University Press eBooksSame topicGlobal Peace and Security DynamicsFrench-language works237,207