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Record W4315648688 · doi:10.52403/ijrr.20230114

The Use of Mediation as Alternative Tax Dispute Resolution

2023· article· en· W4315648688 on OpenAlexaboutno aff
Noviansyah, Sabela Gayo

Bibliographic record

VenueInternational Journal of Research and Review · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicMarriage and Family Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsMediationDispute resolutionAlternative dispute resolutionDispute mechanismLaw and economicsLawPolitical scienceLawyer supported mediationOnline dispute resolutionBusinessEconomics

Abstract

fetched live from OpenAlex

Legal remedies that can be taken by taxpayers in the event of a tax dispute by filing an objection to the objection institution located in the Directorate General of taxes. This objection is essentially a legal remedy that is outside the Tax Court to seek justice in tax disputes. The problem is that there are several weaknesses related to fairness to objection institutions in processing objections that exist today, namely: the psychological pressure on the objection reviewer, the organizational structure that is not independent, human resource management, especially the objection review team that has not been optimal. To overcome these problems alternative dispute resolution should use mediation mechanism because it can overcome the buildup of cases in court so that an effective instrument is needed because some countries such as Australia, Britain, America, Canada use mediation as an alternative to tax dispute resolution. Keywords: Alternative Dispute Resolution, Tax Dispute, Property

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)0.009
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0010.004
Scholarly communication0.0040.004
Open science0.0020.002
Research integrity0.0020.002
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 head0.195
GPT teacher head0.497
Teacher spread0.302 · 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 designNot applicable
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

Citations2
Published2023
Admission routes1
Has abstractyes

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