MétaCan
Menu
Back to cohort
Record W7023830437

Pillar 2 and the United States: What's Next

2024· article· en· W7023830437 on OpenAlexaboutno aff

Bibliographic record

VenueeYLS (Yale Law School) · 2024
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Taxation and Avoidance
Canadian institutionsnot available
Fundersnot available
KeywordsWithholding taxPillarMultinational corporationLegislationTax treatyArbitrationLiabilityInvestment (military)International arbitration
DOInot available

Abstract

fetched live from OpenAlex

January 1 marked the official effective date of the 15 percent global corporate minimum tax imposed by pillar 2 as part of the G-20/OECD/ inclusive framework base erosion and profitshifting 2.0 project. Pillar 2 went into effect in Australia, Canada, the EU, Japan, Norway, South Korea, and the United Kingdom, with more countries expected to adopt it soon, including low-tax countries like Barbados, Ireland, Luxembourg, the Netherlands, and Switzerland. Critics have argued that pillar 2 violates tax treaties, customary international law, or bilateral investment treaties. But it seems unlikely that legal challenges against it will succeed. Most of the countries that have adopted pillar 2 can override tax treaties by domestic legislation (such as Australia, Canada, and the United Kingdom) directive (the EU), or referendum (Switzerland). The existence of customary international tax law is disputed, and it would be a brave national court that relied on it to invalidate a reform endorsed by over 140 countries (after all, if enough countries adopt a rule, they can effect a change in customary international law). A bilateral investment treaty arbitration challenge by an investor is more plausible, but if a losing country refunds the tax it collected, this could trigger additional tax liability in another country the multinational operates in, so it's unclear what the multinational would gain.

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)0.002
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: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.065
Threshold uncertainty score0.128

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0070.003
Scholarly communication0.0110.010
Open science0.0010.003
Research integrity0.0190.013
Insufficient payload (model declined to judge)0.0160.006

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 head0.018
GPT teacher head0.226
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

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
GenreCommentary

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

Explore more

Same venueeYLS (Yale Law School)Same topicCorporate Taxation and AvoidanceFrench-language works237,207