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Record W2791754246 · doi:10.5539/ass.v14n4p30

Identity, Nasab, and Kafaah in Marital Life: A Look into Indonesian Arab Women in Solo, Central Java, Indonesia

2018· article· en· W2791754246 on OpenAlexvenueno aff
Nawiroh Vera, Deddy Mulyana, Lukiati Komala Erdinaya, Nuryah Asri Sjafirah

Bibliographic record

VenueAsian Social Science · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicIslamic Finance and Communication
Canadian institutionsnot available
Fundersnot available
KeywordsHabitusIndonesianSociologyGender studiesDoxaIdentity (music)Ethnic groupEthnographySocial identity theorySpace (punctuation)Social groupSocial scienceAnthropology

Abstract

fetched live from OpenAlex

This research aims to reveal the identity of Indonesian Arab women in terms of nasab and kafa’ah marriage. To analyze the research finding the researchers use Social Practice theory from Bourdieu – Habitus and Doxa concept and the Communication Identity theory of Hecht. The lineage of the Arabs is patrilineal; therefore, the Arab men are more flexible in terms of choosing a mate. However, Arab women have to struggle hard if they are going to marry men from different groups. This research uses critical ethnographic methods, and the data is obtained through observations and interviews. The results show that the identity of Arab women is historically formed by Arab ethnic patriarchal culture from its home region of Yemen. The position of Solo Arab women as a subordinate group that is socially marginalized is due to the narrowness of women's space. Women are considered as a group with no extensive knowledge of the tradition of nasab and kafaah marriage.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.003
Scholarly communication0.0020.002
Open science0.0000.002
Research integrity0.0010.001
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 head0.010
GPT teacher head0.293
Teacher spread0.283 · 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

Citations4
Published2018
Admission routes1
Has abstractyes

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