MétaCan
Menu
Back to cohort
Record W3082542901

PENGARUH KEPEMILIKAN SAHAM EKSEKUTIF, KOMPENSASI EKSEKUTIF DAN PREFERENSI RISIKO EKSEKUTIF TERHADAP PENGHINDARAN PAJAK

2020· article· id· W3082542901 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageid
FieldBusiness, Management and Accounting
TopicFinancial Analysis and Corporate Governance
Canadian institutionsAdidas (Canada)
Fundersnot available
KeywordsBusiness administrationBusiness
DOInot available

Abstract

fetched live from OpenAlex

ABSTRAK Penelitian ini menguji pengaruh kepemilikan saham eksekutif, kompensasi eksekutif serta preferensi eksekutif sebagai variabel independen dan masa jabatan eksekutif,  ROA, ukuran perusahaan serta leverage sebagai variabel kontrol terhadap penghindaran pajak. Penelitian ini menggunakan sampel di perusahaan property, real estate dan building construction yang terdaftar di Bursa Efek Indonesia (BEI) periode 2016-2018. Metode sampling penelitian ini adalah 118 annual report dengan pengamatan selama 3 tahun. Pengolahan data yang digunakan peneliti adalah analisis regresi berganda. Penelitian ini membuktikan bahwa ROA dan leverage berpengaruh terhadap penghindaran pajak. Sedangkan kepemilikan sahan eksekutif, kompensasi eksekutif, preferensi risiko eksekutif, masa jabatan eksekutif dan ukuran perusahaan tidak berpengaruh terhadap penghindaran pajak. Kata Kunci: eksekutif , kepemilikan, kompensasi, preferensi, penghindaran pajak.

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.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.473
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.003
Science and technology studies0.0020.000
Scholarly communication0.0030.003
Open science0.0020.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0100.011

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 head0.029
GPT teacher head0.198
Teacher spread0.169 · 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