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Record W2921345170 · doi:10.1515/ldr-2018-0073

Source-Based Taxing Rights from the OECD to the UN Model Conventions: Unavailing Efforts and an Argument for Reform

2019· article· en· W2921345170 on OpenAlexaff
Oladiwura Ayeyemi Eyitayo-Oyesode

Bibliographic record

VenueThe Law and Development Review · 2019
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Taxation and Avoidance
Canadian institutionsDalhousie University
Fundersnot available
KeywordsDeveloping countryArgument (complex analysis)Nexus (standard)TreatyRevenueExpansiveLaw and economicsEconomicsPublic economicsTax revenueBusinessPolitical scienceLawEconomic growthFinance

Abstract

fetched live from OpenAlex

Abstract A significant number of scholars have written about the nexus between fairness in the allocation of taxing rights in double taxation treaties and sustainable development in developing countries. These scholars have argued for expansive taxing rights for developing countries, as against the current source- restricting provisions in taxation treaties between developed and developing countries based on the OECD and UN Model taxation treaties. They have also highlighted the need for developing countries to critically assess their treaty networks, and to consider gaps in their local laws and policies that encourage revenue loss. This paper contributes to this body of knowledge by identifying provisions in Nigeria’s double taxation treaties that encourage revenue loss. It concludes by recommending amendments to Nigeria’s double taxation treaties.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.975
Threshold uncertainty score0.561

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.027
GPT teacher head0.242
Teacher spread0.215 · 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 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

Citations14
Published2019
Admission routes1
Has abstractyes

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