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Record W3122881839 · doi:10.32721/ctj.2020.68.4.ustd

Selected US Tax Developments: New Proposed Regulations Under the Section 1061 Carried Interest Rules

2021· article· en· W3122881839 on OpenAlexvenueaboutno aff
Peter A. Glicklich, Gregg M. Benson

Bibliographic record

VenueCanadian Tax Journal/Revue fiscale canadienne · 2021
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Taxation and Avoidance
Canadian institutionsnot available
Fundersnot available
KeywordsInternal revenueSection (typography)BusinessService (business)RevenueKey (lock)Capital (architecture)Code (set theory)FinanceComputer scienceComputer securityMarketingAdvertising

Abstract

fetched live from OpenAlex

The Tax Cuts and Jobs Act of 2017 added new section 1061 to the Internal Revenue Code. That provision added a three-year holding period for fund managers holding "carried interests" to qualify for long-term capital gain treatment. On August 14, 2020, the Internal Revenue Service published proposed regulations that provide much-needed guidance. As proposed, however, the new rules are quite complex and include a number of traps for the unwary. We discuss some of the key provisions of the proposed regulations and consider their impact for Canadian funds and their Canadian and US managers.

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)0.016
metaresearch head score (Gemma)0.030
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.375
Threshold uncertainty score0.746

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.030
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0050.005
Science and technology studies0.0070.003
Scholarly communication0.0130.003
Open science0.0050.003
Research integrity0.0130.011
Insufficient payload (model declined to judge)0.0170.011

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 head0.194
Teacher spread0.167 · 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
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
Published2021
Admission routes2
Has abstractyes

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