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Record W4405095856 · doi:10.24090/ibda.v22i2.12168

The Relevance of Islamic Values in the Martabat Tujuh Constitution: A Study of the Code of Ethics and Conduct for Civil Servants

2024· article· en· W4405095856 on OpenAlexaff
Suwandi Suwandi, Halilul Khairi, M. Nopri Ramadani Utama Buhri, Sharifah Nursyahidah Syed Annuar

Bibliographic record

VenueIBDA Jurnal Kajian Islam dan Budaya · 2024
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicIslamic Finance and Banking Studies
Canadian institutionsGovernment of Canada
Fundersnot available
KeywordsConstitutionRelevance (law)IslamCivil servantsLawCivil codeCode (set theory)Ethical codeSociologyPolitical sciencePhilosophyComputer scienceTheologyProgramming language

Abstract

fetched live from OpenAlex

This study examines the cultural concepts within the Martabat Tujuh Constitution of the Buton Sultanate in conjunction with Islamic principles and their relevance to government administration. The objective is to assess the relevance of Islamic valuesfor local government administration, particularly the code of ethics and conduct for civil servants. The literature review analyzes the revelant textual sources to identify the Islamic values embedded in the Martabat Tujuh Constitution and their application in governance. The study found that the Islamic values reflected in the Martabat Tujuh Constitution are relevant to the code of ethics and conduct for civil servants in government administration. The implementation of these Islamic values can help prevent corruption and other types of ethical miscoduct in government. By integrating the Islamic values of the Martabat Tujuh Constitution civil servants can implement a well-rounded code of ethics and conduct and support ethical governance

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)0.004
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0060.011
Scholarly communication0.0040.002
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.041
GPT teacher head0.294
Teacher spread0.253 · 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 designQualitative
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
Published2024
Admission routes1
Has abstractyes

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