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Record W4210455292 · doi:10.1093/jiel/jgac008

The Strategies of the International Chamber of Commerce to Eliminate Double Taxation

2022· article· en· W4210455292 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of International Economic Law · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicEuropean Political History Analysis
Canadian institutionsCarleton University
Fundersnot available
KeywordsLeagueContext (archaeology)MacroInternational taxationLaw and economicsEconomicsPolitical scienceLawSociologyTax reformComputer scienceHistory

Abstract

fetched live from OpenAlex

ABSTRACT This article focuses on the role of the International Chamber of Commerce (ICC) in developing the regime on the elimination of double taxation in the twentieth century. The objective of the article is to determine the ICC’s strategies and its structural advantages in developing the regime and contextualize these strategies in a broader socio-legal and historical context. The article adopts the interactional theory of Jutta Brunée and Stephan Toope to emphasize the actor-oriented outlook upon the development of the regime on double taxation. It relies on the micro-and macro-histories teased out from archival sources, biographies of prominent decision-makers, and deliberations of committee members in the League of Nations and the United Nations. The article concludes that the ICC is a strategic player within the community of practice in the international tax regime, which utilized its structural advantages and employed different strategies to facilitate the elimination of double taxation.

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.

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: none
Teacher disagreement score0.978
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.026
GPT teacher head0.243
Teacher spread0.218 · 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