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Record W3154902888 · doi:10.5267/j.ac.2021.4.010

Optimizing the cost of accounting work and financial rules within the framework of outsourcing

2021· article· en· W3154902888 on OpenAlexvenueno aff
Heyder G. Wannes Alkarawy, Abduuljasem Abbas Alaallah, Mohammed Madlool Al-Sultani, Olga Leonidovna Ostrovskaia

Bibliographic record

VenueAccounting · 2021
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicInsurance and Financial Risk Management
Canadian institutionsnot available
Fundersnot available
KeywordsOutsourcingRevenueArtifact (error)Cost accountingWork (physics)Control (management)Accounting managementAccountingBusinessManagement accountingPresentation (obstetrics)Computer scienceAccounting information systemIndustrial organizationMarketingEngineering

Abstract

fetched live from OpenAlex

This study aims to propose and apply a systematic and descriptive presentation of the costs of administrative coordination and organizational costs for a third-party company in the manufacturing enterprises of individual business functions. As for the procedures, it is a bibliographic research, based on Design Science Research, which proposes a new artifact based on the review of the literature and which starts to be applied based on the Iraqi Financial Control Council and Financial rules followed to achieve financial discipline. Special methods in which it was chosen to apply techniques such as observation, it is a practical means of cognition determining costs revenue that help to understand and identify the problems of the implementation of the main functions of financial, accounting and administrative performance. The research proposes the classify costs according to the types of industrial objects, contracts, and agreements based on the requirements of standard No. 1 “Measurement of performance results under employment contracts.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.458
Threshold uncertainty score0.449

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.018
GPT teacher head0.214
Teacher spread0.196 · 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

Citations5
Published2021
Admission routes1
Has abstractyes

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