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Record W6980697918

Concepts of International Arbitration in the United States and Europe at the Beginning of the 20th century and Its Implementation within the framework of the League of Nations

2023· article· ru· W6980697918 on OpenAlexaff

Bibliographic record

VenueHistorical Studies (MVLomonosov Moscow State University) · 2023
Typearticle
Languageru
FieldBiochemistry, Genetics and Molecular Biology
TopicGenomics and Rare Diseases
Canadian institutionsSexuality Education Resource Centre
Fundersnot available
KeywordsLeagueArbitrationEliteInternational arbitrationState (computer science)PoliticsInternational relationsInternational law
DOInot available

Abstract

fetched live from OpenAlex

The growing contradictions between the powers at the turn of the XIX- XX centuries provoked numerous bloody local conflicts. Therefore, even before the First World War in European representatives of intellectual cycles, politicians from the USA, Great Britain, and France started talking about the necessity to create mechanisms for a peace resolution of conflicts. The international arbitration was considered as a key instrument capable of preventing large-scale military conflicts and punishing powers that violate international law. The article is to analyze concepts of the international arbitration and projects of international peace organization created by European and American politicians at the beginning of the XX century, in particular ideas of former US Presidents T. Roosevelt, W. Taft, State Secretary E. Root, as well as representative of European political elite – British minister R. Cecil, judge W. Phillimore, and former French Prime-Minister Leon Bourgeois, etc.

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)0.005
metaresearch head score (Gemma)0.005
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: Empirical · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0070.022
Scholarly communication0.0110.007
Open science0.0010.004
Research integrity0.0030.004
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 head0.017
GPT teacher head0.263
Teacher spread0.246 · 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
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
Published2023
Admission routes1
Has abstractyes

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