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Record W4361801578 · doi:10.55365/1923.x2023.21.5

Factors Influencing Academic Fraud Prevention among Accounting Students

2023· article· en· W4361801578 on OpenAlexvenueno aff
Erlane K Ghani, Sheikh Azhar, Kamaruzzaman Muhammad, Citra Sukmadilaga

Bibliographic record

VenueReview of Economics and Finance · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicAcademic integrity and plagiarism
Canadian institutionsnot available
Fundersnot available
KeywordsEmbarrassmentAcademic integrityPsychologyAccountingPunishment (psychology)Identification (biology)Medical educationBusinessSocial psychologyMedicine

Abstract

fetched live from OpenAlex

This study examines the factors influencing academic fraud prevention among the accounting students.Specifically, this study examines whether five factors namely, identification verification, monitoring, restroom visits procedures, punishment and embarrassment can prevent academic fraud.Using questionnaire survey on accounting students, this study shows that out of the five selected factors, monitoring and punishment significantly and positively influence academic fraud prevention.On the other hand, the other three factors namely, verification identification, restroom visits procedures and embarrassment do not significantly influence academic fraud prevention among the accounting students.The findings in this study shed some lights on the factors influencing academic fraud prevention among the accounting students.This study contributes to the university as well as other related parties in strategizing better controls to prevent academic fraud.This in turn will improve the quality of their graduates and eventually the image of universities.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.504
Threshold uncertainty score0.288

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.046
GPT teacher head0.344
Teacher spread0.298 · 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; a candidate call from one teacher head, not a consensus.

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

Citations2
Published2023
Admission routes1
Has abstractyes

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