Pengaruh Perencanaan Pajak terhadap Manajemen Laba pada Perusahaan Manufaktur yang Terdaftar di Bursa Efek Indonesia (BEI) Periode Tahun 2015-2017
Bibliographic record
Abstract
Skripsi/Tesis ini membahas tentang pengaruh perencanaan pajak terhadap manajemen laba. Objek penelitian menggunakan perusahaan manufaktur yang terdaftar di Bursa Efek Indonesia periode tahun 2015-2017. Penelitian ini termasuk dalam basic research dengan tujuan untuk pengembangan teori-teori yang sudah ada sebelumnya. Sampel dalam penelitian ini berjumlah 55 perusahaan dari total 148 perusahaan dari hasil penggunaan metode purposive sampling. Penelitian ini menggunakan beberapa variabel kontrol yaitu, tingkat utang, ukuran perusahaan, dan rasio arus kas operasi. Hasil dari penelitian ini menunjukkan bahwa perencanaan pajak berpengaruh positif terhadap manajemen laba
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.034 | 0.008 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".