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Record W1689958194 · doi:10.54648/taxi2010004

Bollywood and the World of Tax Treaties

2010· article· en· W1689958194 on OpenAlexaboutno aff
D.P. Sengupta

Bibliographic record

VenueIntertax · 2010
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicTaxation and Legal Issues
Canadian institutionsnot available
Fundersnot available
KeywordsTribunalTax treatyTreatyIncome taxResidenceDouble taxationLawRevenuePolitical scienceTax lawBusinessLaw and economicsEconomicsFinanceDemographic economics

Abstract

fetched live from OpenAlex

Courts in India have been taking a view that whenever the expression ‘may be taxed’ has been used in a tax treaty without anything else, it is the state of source that gets the exclusive taxation right and India, as the country of residence, loses the same. Recently, the Income Tax Appellate Tribunal gave a decision involving a Bollywood artist, resident in India, who had performed in Canada and from whose income, tax was withheld in Canada. The Tribunal, while interpreting the relevant tax treaty, came to the conclusion that India has no right to tax the income. According to the Tribunal, India by entering into a treaty with Canada has given away its right of taxation to Canada. This article analyses and comments on the decision; it looks at the genesis of the controversy, at previous case law and at the efforts of the Indian Revenue to deal with the issue, including the latest notification defining the expression ‘may be taxed’ issued by the Central Board of Direct Taxes.

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)0.004
metaresearch head score (Gemma)0.011
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: Empirical · Consensus signal: none
Teacher disagreement score0.100
Threshold uncertainty score0.200

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.011
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.004
Science and technology studies0.0200.025
Scholarly communication0.0250.009
Open science0.0020.005
Research integrity0.0090.016
Insufficient payload (model declined to judge)0.0130.002

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 head0.007
GPT teacher head0.219
Teacher spread0.212 · 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
Published2010
Admission routes1
Has abstractyes

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