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Record W4281673338 · doi:10.1515/asia-2021-0047

Once again on Noah’s lost son in the Qur’ān: the Enochic connection

2022· article· en· W4281673338 on OpenAlexaff
Süleyman Dost

Bibliographic record

VenueAsiatische Studien – Études Asiatiques · 2022
Typearticle
Languageen
FieldPsychology
TopicFamilies in Therapy and Culture
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsWifeNarrativeLiteratureJudaismPhilosophyDecadenceInterpretation (philosophy)HistoryGenealogyArtTheology

Abstract

fetched live from OpenAlex

Abstract In the Qur’ān, a son of Noah dies in the flood because, the Qur’ān states, he is not actually of Noah’s family. The passage in question (Q 11:46) was puzzling to classical Muslim exegetes and modern scholars alike, and the search for parallel narratives in previous biblical and parabiblical texts has been largely unsuccessful. Another Qur’ānic passage that portrays Noah’s wife in negative terms (Q 66:10) led some early Muslim scholars to consider the possibility that she cheated on his husband but this interpretation was later dismissed on the principle of prophetic infallibility. In this paper, the story of Noah’s perished son is examined in the light of Second Temple Jewish texts, in particular the First Book of Enoch and the Genesis Apocryphon, where the sexual corruption of the fallen angels leads to cases of doubtful paternity. In these sources Noah’s own birth is recounted as a wondrous event that makes Noah’s father Lamech suspect that his wife had the child from an angel. Lamech’s grandfather Enoch eventually confirms Noah’s righteous conception and birth but the narrative motifs around antediluvian sexual decadence, conjugal disloyalty and miraculous birth stories survive into other Second Temple Jewish and early Christian texts. I argue that the Qur’ān, too, was aware of these narrative motifs and the story of Noah’s son constitutes a unique Qur’ānic spin on certain of these Enochic themes.

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)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.566
Threshold uncertainty score0.913

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.028
GPT teacher head0.320
Teacher spread0.293 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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