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Record W3121274648

How Nations Share

2012· article· en· W3121274648 on OpenAlexaff
Allison Christians

Bibliographic record

VenueIndiana law journal · 2012
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicTaxation and Legal Issues
Canadian institutionsMcGill University
Fundersnot available
KeywordsEconomicsGlobalizationJurisdictionPublic goodLaw and economicsPublic economicsLawPolitical science
DOInot available

Abstract

fetched live from OpenAlex

Every nation has an interest in sharing the gains they help create by participating in globalization. Citizens should be very interested in discovering how well their governments fare in claiming an adequate share of this international income stream, since a government that cannot or will not exert its taxing jurisdiction internationally is potentially missing out on a very large and very productive source of revenue. Yet it is all but impossible for citizens to observe exactly how, or how well, their governments navigate this aspect of economic globalization. The vast majority of international tax law plays out in practice through a series of intergovernmental dispute resolutions that are handled in complete secrecy through diplomatic channels, subject to no oversight by any judicial or legislative body and subject to no scrutiny by the taxpaying public. This Article shows that in thus obscuring public observation of international tax law as it develops, the structure of the international tax regime prevents citizens from comprehensively assessing the quality of their own nation’s tax systems. Without more information to determine what, if anything, one’s government ultimately claims from the massive stream of income created by international trade and investment, it is impossible to use any policy assessment tools, such as standards of economic efficiency and fairness, to talk coherently about the tax system. The Article concludes that at a time when national economic and political fortunes are experiencing high stress, uncertainty, and volatility, we need much better information about how international tax law develops and works out in practice. INTRODUCTION 1408 I. WHY NATIONS FIGHT OVER TAX REVENUES 1412 A. HOW NATIONS AGREE TO SHARE REVENUES 1414 B. TAX AGREEMENTS LEAD TO INTERNATIONAL DISPUTES 1419 C. ODD MAN OUT: THE SIDELINING OF THE TAXPAYER 1423 II. HOW NATIONS RESOLVE THE DISPUTES THEY FACILITATE 1426 A. LET TAXPAYERS FIGHT WITH THE REVENUE AUTHORITY 1427 B. LET TAXPAYERS LITIGATE 1430 C. LET DIPLOMATS WORK IT OUT 1433 D. LET EXPERTS TELL THE DIPLOMATS WHAT TO DO 1437 III. SOFT LAW’S CUSHIONING ROLE 1442 A. THE PROBLEM WITH HARD LAW 1443 † Copyright © 2012 Allison Christians. * Associate Professor, University of Wisconsin Law School. Thanks to Professors Karen Brown, Neil Buchanan, Steven Dean, Mihir Desai, John Ohnesorge, Daniel Shaviro, and Jason Yackee; the participants of the New York University Tax Policy Colloquium, Spring 2011; and the faculty workshop participants of the George Washington University Law School, for their thoughtful comments and suggestions. This project benefited from a generous research grant from the Wisconsin Alumni Research Foundation. 1408 INDIANA LAW JOURNAL [Vol. 87:1407 B. THE PROBLEM WITH NONLAW 1445 C. THE PROMISES AND PERILS OF SOFT LAW 1447 CONCLUSION 1452

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)0.003
metaresearch head score (Gemma)0.009
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 score0.043
Threshold uncertainty score0.145

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.008
Scholarly communication0.0130.014
Open science0.0010.008
Research integrity0.0050.005
Insufficient payload (model declined to judge)0.0430.009

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 head0.027
GPT teacher head0.241
Teacher spread0.214 · 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

Citations8
Published2012
Admission routes1
Has abstractyes

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