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Record W4384521605 · doi:10.1371/journal.pone.0287327

The morality and tax avoidance: A sentiment and position taking analysis

2023· article· en· W4384521605 on OpenAlexaff
Mark Lokanan

Bibliographic record

VenuePLoS ONE · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Taxation and Avoidance
Canadian institutionsRoyal Roads University
Fundersnot available
KeywordsTax avoidanceMoralityCulpabilityTax reformLaw and economicsDirect taxCorporate taxIndirect taxPublic economicsBusinessEconomicsAccountingLawPolitical science

Abstract

fetched live from OpenAlex

This paper examines the moral and legal underpinnings of corporate tax avoidance. Cast in terms of a totemic symbol that brand tax avoidance as within the purview of the law, the paper invokes the attributional frames of the new sociology of morality to examine the position of both the moral advocates and the amoral critics of aggressive tax avoidance. The paper uses the United Kingdom as a jurisdiction where complex tax planning by tax advisors serves as a measure of protection for corporations who may have already conceived that they are paying too much tax. Data for the paper came from semi-structured interviews conducted with tax accountants, consultants, parliamentarians, and government officials. To supplement the interviews, data from the Parliamentary Commission on Banking Standards were collected and analyzed to provide useful insights. The findings reveal that through effective tax planning, companies can reduce the present values of future tax payments. Given the singular justification of their actions within the contours of the tax rules, the moral culpability of organized tax avoidance is minimized, with very little liability attached. Tax avoidance is a morally charged area that is slowly drifting away from conventional social norms of what is right or wrong. It is hard not to see those in charge of tax regulation not using the findings of this paper to provide a more nuanced understanding of the intractable problems associated with corporate tax avoidance and use it as a reference point for regulatory reforms.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.092
Threshold uncertainty score0.335

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.060
GPT teacher head0.233
Teacher spread0.173 · 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 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

Citations15
Published2023
Admission routes1
Has abstractyes

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