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Record W2336609372 · doi:10.5430/jbar.v5n1p54

The Study of Financial System in Imam Khomeini Relief Committee (Rural and Urban) in Kohgiluyeh and Boyer-Ahmad

2016· article· en· W2336609372 on OpenAlexvenueno aff
Seyed Yaqoub Zeraat Kish, Seyed Mosa Jafari Nejad

Bibliographic record

VenueJournal of Business Administration Research · 2016
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicIslamic Finance and Banking Studies
Canadian institutionsnot available
Fundersnot available
KeywordsAccounting recordsAgency (philosophy)Control (management)AccountingPopulationAdministration (probate law)Order (exchange)Financial managementBusinessActuarial scienceFinanceManagementPolitical scienceEconomicsDemographySociologyLawAccounting information systemSocial science

Abstract

fetched live from OpenAlex

In this practical article, the financial control status of Relief Committee in Kohgiluyeh and Boyer-Ahmad is examined. In this study, data was collected by the questionnaire and data analysis was performed by SPSS software and binomial distribution. The population of the study is the area of Tax Administration of Relief Committee Agency in kohgiloyeh and Boyer-Ahmad and since the size of the population is limited, therefore, the views of all people are applied. Finally, according to the results of the control performance and measures that directly affect the reliability of accounting records and financial statements, and in order to achieve different objectives and it is recommended that monitoring of the entire level of management control should involve all levels of the organization and various activities.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.012
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.029
GPT teacher head0.295
Teacher spread0.266 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2016
Admission routes1
Has abstractyes

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