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Record W4390991213 · doi:10.55057/jdpg.2023.5.4.1

Jenis-jenis Aduan dalam Runding Cara Keluarga Islam

2023· article· id· W4390991213 on OpenAlexaff

Bibliographic record

VenueJurnal Dunia Pengurusan · 2023
Typearticle
Languageid
FieldSocial Sciences
TopicLinguistic, Cultural, and Literary Studies
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsHumanitiesPolitical scienceSociologyPhilosophy

Abstract

fetched live from OpenAlex

Bahagian Undang-undang Keluarga, Jabatan Agama Islam Negeri, melalui Pusat Khidmat Keluarga, Sosial dan Komuniti menawarkan perkhidmatan runding cara kekeluargaan untuk masyarakat Islam. Unit Runding Cara ini menguruskan aduan rumah tangga dan kekeluargaan melibatkan isu pernikahan, perceraian, rujuk dan pelbagai aduan berkaitan krisis rumah tangga. Unit Runding Cara Keluarga Jabatan Agama Islam Wilayah Persekutuan (JAWI) misalnya, sepanjang 2018-2022 telah menerima sebanyak 38,449 aduan yang memerlukan khidmat runding cara mereka. Makalah ini akan melihat dengan lebih terperinci punca-punca aduan mereka sepanjang tempoh lima tahun itu. Kajian ini menggunakan data sekunder dari JAWI untuk mengenalpasti jenis-jenis aduan yang dibuat. Dari segi punca aduan, tiga punca aduan yang utama untuk lima tahun ini ialah “masalah sosial/akhlak”, “tidak bertanggungjawab” dan “masalah komunikasi”.

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)0.000
metaresearch head score (Gemma)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.066
Threshold uncertainty score0.165

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0490.010

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 head0.038
GPT teacher head0.320
Teacher spread0.281 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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