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ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUM MAHASISWA AKUNTANSI DI UNIVERSITAS WIJAYA KUSUMA SURABAYA DALAM MEMILIH KARIR SEBAGAI AKUNTAN PUBLIK

2006· article· id· W3115439449 on OpenAlexaboutno aff
Mira Pramudianti

Bibliographic record

VenueEquilibrium: Jurnal Ekonomi-Manajemen-Akuntansi · 2006
Typearticle
Languageid
FieldBusiness, Management and Accounting
TopicFinancial Analysis and Corporate Governance
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyPerceptionPersonalityAccountingPublic accountingPublic relationsMedical educationManagementSocial psychologyPolitical scienceBusinessEconomics

Abstract

fetched live from OpenAlex

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.

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 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)0.002
metaresearch head score (Gemma)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.345
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0030.004
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0020.006
Science and technology studies0.0020.001
Scholarly communication0.0050.011
Open science0.0040.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.001

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.

Opus teacher head0.009
GPT teacher head0.183
Teacher spread0.174 · 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; both teacher heads agree on what is shown here.

Study designObservational
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

Citations0
Published2006
Admission routes1
Has abstractyes

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