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Taxation and the Financial Crisis

2012· book· en· W2138583440 on OpenAlexfundno aff
Julian Alworth, Giampaolo Arachi

Bibliographic record

Venuenot available
Typebook
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Taxation and Avoidance
Canadian institutionsnot available
FundersUniversità BocconiVrije Universiteit BrusselBanca d'ItaliaQueen's UniversityCentre for Economic Policy ResearchUniversity of BristolUniversity of WarwickUniversität zu KölnEuropean CommissionLondon School of Economics and Political ScienceWorld Bank GroupUniversity of EssexUniversity of MichiganUniversity of OxfordUniversity of ChicagoHarvard University
KeywordsFinancial crisisFinancial sectorFinancial systemBusinessFinanceLimitingDebtFinancial analysisSAFEREconomicsMacroeconomics

Abstract

fetched live from OpenAlex

Abstract The financial crisis has opened up a global debate on the taxation of the financial sector. A number of international policy initiatives, most notably by the G20, have called for major changes in the tax treatment of financial institutions and transactions as well as individuals working in the financial sector. This book examines how tax policies contributed to the financial crisis and whether taxation can play a role in the reform efforts under way to establish a sounder and safer financial system. The book looks at the pros and cons of various tax initiatives, including limiting the tax advantages to debt financing, special taxes on the financial sector and financial transactions 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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.505
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.013
GPT teacher head0.183
Teacher spread0.170 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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

Citations37
Published2012
Admission routes1
Has abstractyes

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