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Record W2919457341

Tax Design and Administration in a Post-BEPS Era: A Study of Key Reform Measures in 18 Jurisdictions

2019· book· en· W2919457341 on OpenAlexaboutno aff
Kerrie Sadiq, Adrian Sawyer, Bronwyn McCredie

Bibliographic record

VenueQUT ePrints (Queensland University of Technology) · 2019
Typebook
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Taxation and Avoidance
Canadian institutionsnot available
Fundersnot available
KeywordsBase erosion and profit shiftingChinaPolitical scienceBusinessTax reformAdministration (probate law)Economic growthEconomic policyInternational taxationEconomicsLaw
DOInot available

Abstract

fetched live from OpenAlex

In 2015 the OECD released its roadmap to address Base Erosion and Profit Shifting. The global tax reform package, with 15 Actions, is designed to equip countries with the tools they need to ensure profits are taxed where economic activity occurs and value is added. This volume is a comprehensive stock-take of the BEPS implementation that looks beyond a mere checklist of action or non-action to explore the experiences of 18 different jurisdictions. It highlights the different approaches taken by capital importing and capital exporting regions, developed and developing countres, OECD and non-OECD members and well as G20 and non-G20 members. Expert authors from Australia, Canada, China, Hong Kong SAR, India, Indonesia, Japan, Korea, Malaysia, the Netherlands, New Zealand, Nigeria, Singapore, South Africa, Thailand, the United Kingdom, the United States, and Vietnam have contributed chapters to this volume. Each provides the 'must-know' answers to questions that all stakeholders in the tax system are asking in relation to the domestic implementaiton of the largest reform of international tax the world has seen in a century.

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 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.096
Threshold uncertainty score0.839

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.019
GPT teacher head0.204
Teacher spread0.185 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations2
Published2019
Admission routes1
Has abstractyes

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