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Record W287565308

A Comparative Study on Malay and Chinese Accounting Students' Perceptions on Accounting Career UNE ÉTUDE COMPARATIVE SUR LES PERCEPTIONS DE LA CARRIÈRE DE COMPTABLE DES ÉTUDIANTS MALAISIENS ET DES ÉTUDIANTS CHINOIS

2009· article· fr· W287565308 on OpenAlexvenueno aff
Erlane K Ghani, Jamaliah Said

Bibliographic record

VenueCanadian social science · 2009
Typearticle
Languagefr
FieldBusiness, Management and Accounting
TopicAccounting Education and Careers
Canadian institutionsnot available
Fundersnot available
KeywordsMalaySalaryPsychologyAccountingPerceptionSignificant differenceSocial psychologySociologyPolitical scienceBusiness
DOInot available

Abstract

fetched live from OpenAlex

Using questionnaire survey, this study examines accounting students' attitude on accounting career. Specifically, this study examines whether there is any significant difference on the accounting students' attitude of accounting career caused by cultural differences as differentiated by race. Two large groups of races in Malaysia were chosen: Malay students and Chinese students. The results show a significance difference in accounting career choice between the Malay students and the Chinese students. Further results show that there are significant differences between the two groups on the important criteria in salary determination in terms of qualification and work performance. However, both groups agree that interest and job responsibilities are not important factors for an accountant. The results provide useful insights to relevant institutions in formulating plans in their institutions in alleviating differences caused by cultural differences on students' attitude on accounting career and therefore, produce highly competitive graduates.

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Observationallow
gptno category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Observationallow
models agreeAgreement compares identical category sets and study designs across arms.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.136
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0060.002
Scholarly communication0.0030.004
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.040
GPT teacher head0.340
Teacher spread0.300 · 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

Labeled directly by 2 models reading the full record.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2009
Admission routes1
Has abstractyes

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