MétaCan
Menu
Back to cohort
Record W2698426366

Protecting the Tax Base in the Digital Economy

2016· article· en· W2698426366 on OpenAlexaff
Jinyan Li

Bibliographic record

VenueSSRN Electronic Journal · 2016
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Taxation and Avoidance
Canadian institutionsYork University
Fundersnot available
KeywordsDigital economyNexus (standard)Developing countryBase erosion and profit shiftingBusinessProfit (economics)International taxationEconomicsEconomic systemIndustrial organizationTax reformPublic economicsPolitical scienceComputer scienceEconomic growthMicroeconomics
DOInot available

Abstract

fetched live from OpenAlex

Protecting the tax base in the digital economy is Action 1 of the Organisation for Economic Co-operation and Development Action Plan on Base Erosion and Profit Shifting (OECD Action Plan on BEPS). The reason is simple: “International tax rules, which date back to the 1920’s, have not kept pace with the changing business environment, including the growing importance of intangibles and the digital economy.” Existing tax rules are rooted in clear-cut jurisdictional boundaries designed for businesses selling goods and services in bricks-and-mortar, physical locations. They are inapt in dealing with income arising from the digital economy, which renders physical form and location irrelevant. The digital economy is characterized by an unparalleled reliance on intangible assets, massive use of data (notably personal data), widespread adoption of multisided business models capturing value from externalities generated by free products, and the difficulty of determining the jurisdiction in which value-creation activity occurs.

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)0.000
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 score0.343
Threshold uncertainty score0.488

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
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 head0.194
Teacher spread0.183 · 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

Citations12
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueSSRN Electronic JournalSame topicCorporate Taxation and AvoidanceFrench-language works237,207