MétaCan
Menu
Back to cohort
Record W4410875378 · doi:10.5267/j.dsl.2025.3.003

Factors affecting internal control activities in regular expenditures at the social insurance office of soc Trang province

2025· article· en· W4410875378 on OpenAlexvenueno aff
Phong Nguyen Thien

Bibliographic record

VenueDecision Science Letters · 2025
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicInsurance and Financial Risk Management
Canadian institutionsnot available
Fundersnot available
KeywordsControl (management)BusinessSocial insuranceOperations managementEnvironmental economicsEconomicsManagement

Abstract

fetched live from OpenAlex

This study aims to rigorously examine and assess how various determinants influence internal control mechanisms associated with routine expenditures at the Social Insurance Office of Soc Trang Province. Using a quantitative method with 182 survey samples collected from civil servants and officials of the Social Insurance Office of Soc Trang Province, the data were validated through Cronbach’s Alpha, Exploratory Factor Analysis (EFA), and multiple regression analysis. The findings demonstrate that five factors impact internal control, ranked by their significance: Control Activities, Monitoring Activities, Control Environment, Information and Communication, and Risk Assessment. Additionally, the author provides recommendations to improve the effectiveness of managing and utilizing regular expenditures at the unit.

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: Empirical
Teacher disagreement score0.088
Threshold uncertainty score0.474

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.021
GPT teacher head0.261
Teacher spread0.240 · 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

Citations1
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueDecision Science LettersSame topicInsurance and Financial Risk ManagementFrench-language works237,207