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Record W3085356910 · doi:10.1017/aju.2020.52

What is Unilateralism in International Taxation?

2020· article· en· W3085356910 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

VenueAJIL Unbound · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Taxation and Avoidance
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsBase erosion and profit shiftingUnilateralismHegemonyNegotiationInternational taxationInternational businessLaw and economicsEconomicsMultilateralismPolitical scienceInternational relationsTransfer pricingTax competitionInternational tradePolitical economyInternational economicsPoliticsPublic economicsTax reformLawMultinational corporation

Abstract

fetched live from OpenAlex

The Organisation for Economic Co-Operation and Development (OECD) recently emerged as the site of unprecedented, multilateral, and seemingly high-stakes negotiations about the future of international business income taxation. Judging by the political resources deployed in these negotiations, international tax has entered unchartered territory. Ruth Mason offers a timely and balanced portrayal of the OECD process so far. But explanations of this process remain eminently contestable. On the one hand, international institutions that address externalities from uncoordinated actions and produce mutual benefits for participating nations can be highly stable. On the other hand, the OECD has struggled, whether in its Base Erosion and Profit Shifting (BEPS) and post-BEPS initiatives or during the pre-BEPS era, to articulate the goals for which international coordination in taxation is needed. By many accounts, recent discussions at the OECD are motivated mainly by the desire to stop foreign imposition of taxes on U.S. companies, or, as the other side of the same coin, to avert the wrath of the single hegemonic power in international tax. What is the best characterization of this conflict? I believe that understanding the underlying subject matter for international coordination, as opposed to merely the institutions that might facilitate such coordination, is required for identifying the coming transformation of international tax.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.739
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.031
GPT teacher head0.239
Teacher spread0.208 · 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