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Record W2945762058

THE MEANING OF SELECTED MIRACLES OF THE QUR’AN THROUGH THE EYES OF COMPUTER ENGINEERING

2018· article· en· W2945762058 on OpenAlexaff
Bekir Karlık

Bibliographic record

VenueJournal of the International Institute of Islamic Thought and Civilization · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Islamic Studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsInterpretation (philosophy)Meaning (existential)Field (mathematics)PhilosophyEpistemologyLiteratureHistoryArtLinguisticsMathematics
DOInot available

Abstract

fetched live from OpenAlex

Currently, all scientific and technological developments and discoveries continue to confirm the miraculous verses of the Holy Qur’an. Indeed, the Qur’an, since time immemorial will continue until the Day of Judgment. Allah (S.W.T) has infinite knowledge that encompasses everything in the heavens and earth and what is in between them; in the worldly life and the Hereafter.3 As in all fields of technology, the latest developments in the field of computer engineering, the Holy Qur’an has shed light on different interpretations of some verses. This study presents explanations of some interpretation of the miracles contained in the Holy Qur’an through the eyes of computer engineering.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.768
Threshold uncertainty score0.247

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.019
GPT teacher head0.294
Teacher spread0.275 · 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 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

Citations0
Published2018
Admission routes1
Has abstractyes

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