PENGARUH HUMAN CAPITAL DAN SPIRITUAL CAPITAL TERHADAP KUALITAS AUDIT PADA BADAN PEMERIKSA KEUANGAN REPUBLIK INDONESIA PERWAKILAN PROVINSI SULAWESI TENGGARA
Bibliographic record
Abstract
Tujuan dari penelitian ini adalah untuk mencari bukti empiris tentang pengaruh human capital dan spiritual capital terhadap kualitas audit. Populasi dalam penelitian ini adalah auditor yang bekerja pada Badan Pemeriksa Keuangan Provinsi Sulawesi Tenggara.Data yang digunakan dalam penelitian ini adalah data primer. Untuk analisis digunakan uji validitas dan reliabilitas sebagai uji instrumen. Penelitian ini menggunakan analisis regresi dan untuk uji hipotesis digunakan uji F dan uji t. Hasil penelitian menunjukkan bahwa human capital dan spiritual capitalberpengaruh signifikan dan positif terhadap kualitas audit.Kata Kunci : Human Capital, Spiritual Capital, Kualitas Audit
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 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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.017 | 0.001 |
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".