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Record W4304823098 · doi:10.56495/ejeb.v1i1.241

The Effect of Modern Tax Administration System, Taxpayer Satisfaction, Enforcement of Tax Sanctions and Distributive Justice on Taxpayer Compliance (Study On Taxpayers of Personal Persons Registered at The Holy Tax Service Office)

2022· article· en· W4304823098 on OpenAlexaff
Sri Indah Setiarini

Bibliographic record

VenueEconomic Journal Economic and Business · 2022
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicTaxation and Compliance Studies
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsTaxpayerSanctionsBusinessNonprobability samplingAccountingEnforcementCompliance (psychology)Public economicsPopulationEconomicsLawPolitical sciencePsychologyMedicineSocial psychology

Abstract

fetched live from OpenAlex

This study aims to examine the effect of modern tax administration system, taxpayer satisfaction, tax penalty enforcement, and distributive justice on taxpayer compliance. The population in this study is an individual taxpayer registered at KPP Pratama Kudus. The method used is purposive sampling with a total of 400 respondents. The analytical technique used is multiple linear regression analysis. The results of this study show that modern tax administration system, taxpayer satisfaction, and tax penalty enforcment have a positive effect on tax compliance, meanwhile, distributive justice have no effect on tax compliance

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)0.002
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.040
GPT teacher head0.256
Teacher spread0.216 · 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

Citations1
Published2022
Admission routes1
Has abstractyes

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