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Record W849920394

A model for electronic commerce tax collection

2001· article· en· W849920394 on OpenAlexaboutno aff
Duncan Bentley

Bibliographic record

VenueeYLS (Yale Law School) · 2001
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicDigital Platforms and Economics
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessComputer scienceCommerce
DOInot available

Abstract

fetched live from OpenAlex

[Extract] 1997 saw the release of numerous detailed reports on the Internet and how transactions taking place over the Internet should be taxed. 1998 was the year of great debate over the effectiveness of existing tax rules and how, if at all, they should be adapted to deal with the Internet. Within the tax community, the general level of understanding of the Internet and its effect on taxation has grown to the extent that any debate on the topic is increasingly sophisticated. The International Fiscal Association focus and the Organisation for Economic Cooperation and Development (OECD) Ministerial Conference in Ottawa in October 1998 assisted this process. Since then, the tax community has attempted to take the most promising ideas and explore the effect of their implementation on national revenue bases and international trade. This has occurred, for example, at the international level through the OECD working groups and at the domestic level with the US Advisory Commission on Electronic Commerce. Ultimately, the result should provide the basis for international consensus on the development and implementation of principles that satisfy a broad majority of nations.

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)0.003
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.052
Threshold uncertainty score0.174

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.002
Bibliometrics0.0030.004
Science and technology studies0.0050.007
Scholarly communication0.0110.017
Open science0.0030.004
Research integrity0.0050.004
Insufficient payload (model declined to judge)0.0520.011

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 head0.023
GPT teacher head0.223
Teacher spread0.200 · 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 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
Published2001
Admission routes1
Has abstractyes

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