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The Quran as Intertext: A Critical Reflection

2011· article· en· W1650883065 on OpenAlexvenueno aff
S. M. Reza Adel, S. M. Hosseini Maasoom

Bibliographic record

VenueCanadian social science · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Islamic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesIslamMiracleIntertextualityMeaning (existential)PhilosophyParadiseEthnologyTheologySociologyEpistemologyLinguistics

Abstract

fetched live from OpenAlex

The purpose of this critical study was to objectively put the Qur’an in an interpretive framework using intertextuality as a methodological tool and look at this holy book from the perspective of the text as intertext. First, the Qur’an was considered as the specific feature of Islam and whether it is God’s word or not. Then, some definitions of Islam were given and some Islamic themes such as creation, Day of Judgment, and paradise and hell shared between different holy texts were compared intertextually. Finally, to put the Qur’an into a broader framework, it was tried to discuss about its strength in terms of miracle both from the perspectives of meaning and form. Key words: Intertextuality; The Qur’an; Miracle; Meaning; Form Resume Le but de cette etude critique a ete objectivement mis le Coran dans un cadre d'interpretation en utilisant l'intertextualite comme un outil methodologique et de regarder ce livre sacre dans la perspective du texte comme intertexte. Premierement, le Coran a ete considere comme la caracteristique specifique de l'Islam et si elle est la parole de Dieu ou non. Puis, quelques definitions de l'islam ont ete donnes et certains themes islamiques telles que la creation, Jour du Jugement, et le paradis et l'enfer partage entre les differents textes sacres ont ete compares intertextuellement. Enfin, pour mettre le Coran dans un cadre plus large, il a ete tente pour discuter de sa force en termes de miracle a la fois du point de vue du sens et de forme. Mots cles : Intertextualite; le Coran; Miracle; Signification; Forme

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.979
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0060.004
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 head0.072
GPT teacher head0.395
Teacher spread0.323 · 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; both teacher heads agree on what is shown here.

Study designTheoretical or conceptual
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
Published2011
Admission routes1
Has abstractyes

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