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Record W2189407845 · doi:10.5539/ells.v5n4p119

The Concept of Women-Beating in (Q 4:34): A Textual and Contextual Analysis

2015· article· en· W2189407845 on OpenAlexvenueno aff
Muhammad A. A. Taghian

Bibliographic record

VenueEnglish Language and Literature Studies · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicSocioeconomic Development in MENA
Canadian institutionsnot available
Fundersnot available
KeywordsMeaning (existential)WifePsychologyLinguisticsSociologySocial psychologyContext analysisGender studiesLawPolitical sciencePhilosophyPsychotherapist

Abstract

fetched live from OpenAlex

<p>This paper is concerned with the textual and contextual analysis of wife-discipline in particular in (Q 4:34) and the concept of women-beating in the Qurʾānic discourse in general. The study makes a special reference to two translations of the Qurʾān, namely: Abdel Haleem’s The Qurʾān: A New Translation (2004); and George Sale's The Qurʾān (1734). This account investigates a psycholinguistic analysis of the meaning of ‘beating’ in the entire scripture, in general, and in (Q 4:34), in particular. To achieve this, an in-depth textual and contextual surgery is performed to uncover new psycholinguistic perspectives. The study reports on attitudes of a sample of 163 Saudi women towards violence against women in KSA. Four constructs will be investigated, namely: 1) social aspects of violence against women; 2) socio-economic status⁄ educational aspects of violence against women; 3) preventive indicators of violence against women and; physical aspects of violence against women. It also highlights the claim of Halliday and Hasan (1976:9) that cohesive ties are the only source of texture. This account runs counter to that claim.</p>

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation 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 score0.045
Threshold uncertainty score0.294

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.014
GPT teacher head0.304
Teacher spread0.291 · 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 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
Published2015
Admission routes1
Has abstractyes

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