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Record W4388705354 · doi:10.4324/9781003462637

Supernatural Creatures in Arabic Literary Tradition

2023· book· en· W4388705354 on OpenAlexaff
Ahmed Al‐Rawi

Bibliographic record

Venuenot available
Typebook
Languageen
FieldPsychology
TopicFamilies in Therapy and Culture
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsCreaturesArabicLiteratureArtHistoryPhilosophyLinguisticsNatural (archaeology)Archaeology

Abstract

fetched live from OpenAlex

This volume explores the cultural meaning of several supernatural creatures in Arabia, tracing the historical development of these creatures and their recent representations in the Western world. Utilizing a variety of old and new Arabic, English and French sources, the text explores creatures including the Ghoul and its derivations, the Rukh bird, and the dragon. Unlike other texts, which primarily focus on Genies or Jinns, this volume explores other supernatural and mythical creatures that have been popular in the Middle East and Arabia for centuries but are less known to Western audiences. Dr. Al-Rawi argues that many of these creatures have pre-Islamic roots, and that they served an important function in connecting the past with the present, offering a popular vehicle to articulate and imagine the supernatural dimension of existence which helps in consolidating religious views.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.166
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.002

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 head0.024
GPT teacher head0.294
Teacher spread0.270 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2023
Admission routes1
Has abstractyes

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