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Record W2056865226 · doi:10.12730/13091719.2012.31.53

The Poetics of Iblīs: Narrative Theology in the Qurʾān, by Whitney S. Bodman

2010· article· en· W2056865226 on OpenAlexaff
Andrew Rippin

Bibliographic record

VenueIlahiyat Studies · 2010
Typearticle
Languageen
FieldArts and Humanities
TopicArchaeology and Historical Studies
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsDivinityPoeticsNarrativePhilosophyTheologyLiteratureRealmNarratologyParagraphReligious studiesArtHistoryPoetry

Abstract

fetched live from OpenAlex

The Poetics of Iblīs: Narrative Theology in the Qurʾān, by Whitney S. Bodman, (Harvard Theological Studies, 62), (Cambridge, Mass.: Harvard Theological Studies, Harvard Divinity School: Distributed by Harvard University Press, 2011), xii + 311 pp., ISBN: 978-0-674-06241-2, $25.00 (pb) (First paragraph) To engage in the delineation of a "narrative theology" of evil as it is found in the world presumes that a discussion of evil is communicated most easily and profoundly through stories. For Whitney Bodman, narrative has the ability to capture "the tragic dimensions of life, the ambiguities of fate, the confusion of flawed characters, noble intentions with ruinous outcomes." (p. 1) The problem of evil, he suggests, cannot be resolved into a dualistic vision of the struggle between the divine and the human because that "belies the truth of human experience;" (p. 1) such a perspective is the realm of normative dogmatic theology and lacks the insights that narratology can provide.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.014
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0050.008
Scholarly communication0.0060.009
Open science0.0010.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0050.001

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 head0.032
GPT teacher head0.276
Teacher spread0.244 · 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 designNot applicable
Domainnot available
GenreReview

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
Published2010
Admission routes1
Has abstractyes

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