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Record W9210402

Rethinking the Nature of Incorporeal Properties in International Taxation – A Theory of Removable and Non-Removable Incorporeal Properties

2014· article· en· W9210402 on OpenAlexaffabout
Sas Ansari

Bibliographic record

VenueSSRN Electronic Journal · 2014
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicTaxation and Legal Issues
Canadian institutionsYork University
Fundersnot available
KeywordsIntellectual propertyTaxable incomeJurisdictionInternational taxationRevenueStatutory lawBusinessInternational tradeGlobalizationTax revenueDouble taxationEconomicsInternational economicsMarket economyLawPublic economicsTax reformFinancePolitical scienceAccounting
DOInot available

Abstract

fetched live from OpenAlex

Globalization of trade and easy movement of money and people across borders, along with the growth of e-commerce, have created an environment where international tax avoidance (“ICTA”) and aggressive tax planning are becoming increasingly important. Over half of world trade passes through tax havens, and over 60% of international trade occurs within MNEs, making ICTA a significant source of revenue loss for governments. ICTA results from misuse of domestic and international laws to separate the earning of revenue from the liability to taxation. By abusing inconsistencies between domestic and international tax rules, MNEs are able to earn large revenues in a country without being liable to full taxation on those revenues. This is achieved by shifting income out of, and expenses into, a country. This artificial movement of money across borders can result in cases where income is earned and not taxed at all in any country.One common method of shifting income from one jurisdiction to another is through the use of incorporeal properties such as the domestic-statutorily created and protected intellectual property rights such as patents, the mixed statutory-common-law protected intellectual property rights such as copyrights and trademarks, and contractually created and protected intellectual property rights such as trade-secret. This paper attempts to draw a meaningful distinction, at least for international taxation purposes, as between these three categories of incorporeal properties by reference to current Canadian non-resident tax treatment of Taxable Canadian Property.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.461

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.011
GPT teacher head0.202
Teacher spread0.191 · 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 designTheoretical or conceptual
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
Published2014
Admission routes2
Has abstractyes

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