ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUM MAHASISWA AKUNTANSI DI UNIVERSITAS WIJAYA KUSUMA SURABAYA DALAM MEMILIH KARIR SEBAGAI AKUNTAN PUBLIK
Bibliographic record
Abstract
Career public accountant is a career that is viewed promising bright prospect because this profession gives intellectual challenges and priceless studying experience. Nevertheless, conducted is Canada and USA, found that there was a decreasing number of talented college students who want to be a public accountant. The purpose of the research is to identified whether there are differences between college who choose career as a public accountant and non public accountant, considered from intrinsic factors, income, job market consideration, college student perception about advantages and disadvantages of public accountant profession, personality and gender. This study also investigates which factors significantly influence accounting student in choosing career. This research is survey research. Sample of this research is accounting college student. Questionnaires are given to 100 respondents from universities in Surabaya . The number of returned questionnaires are 99 and the number of usable questionnaires are 99. Mann Whitney and Chi Square were used to compare responses of college student choice in career as public accountant and non public accountant. The result indicates accountant and non public accountant considered from consideration perception,personality,gender. (2) This result also indicates that many college students who choose profession have Intrisic and High Income. (3) This research also proves that there is no difference of interest between man and woman in choosing career as a public accountant.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.024 | 0.003 |
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".