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Record W7146203171

付加価値税の政府間割当て : 国際比較の視点から

2001· report· ja· W7146203171 on OpenAlexfundno aff
信樹 持田

Bibliographic record

VenueInstitutional Repositories DataBase (IRDB) · 2001
Typereport
Languageja
Field
Topic
Canadian institutionsnot available
FundersGovernment of Canada
KeywordsProcess (computing)Work (physics)Product (mathematics)Set (abstract data type)Information system
DOInot available

Abstract

fetched live from OpenAlex

There seems to be broad consensus in the literature that comprehensive VATs are most appropriately assigned to the central level of government. Japan's Local Consumption Tax is unique in the sense that it combines origin-based piggy backing on the national VAT with a clearing system that is intended to reflect the destination principle indirectly. This paper seeks to assess LCT in the light of general criteria; equity, efficiency and administrative simplicity. Studying international experiences and recent development of tax theory, this paper argues the case for destination principle as a principle of tax on interregional goods and service flow. Finally, we investigate the way in which discretion on tax rate setting can be allowed to Japan's local consumption tax.

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)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.079
Threshold uncertainty score0.264

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.014
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.009
Science and technology studies0.0050.003
Scholarly communication0.0120.013
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0790.030

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 head0.048
GPT teacher head0.311
Teacher spread0.263 · 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 designObservational
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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Same venueInstitutional Repositories DataBase (IRDB)French-language works237,207