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Record W1518196427 · doi:10.1080/09596410600967857

Ibn al-<sup>c</sup>Arab on the Three Conditions of <i>Tawba</i>

2006· article· en· W1518196427 on OpenAlexaff
Atif Khalil

Bibliographic record

VenueIslam and Christian–Muslim Relations · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicIslamic Studies and History
Canadian institutionsUniversity of TorontoCentre for Addiction and Mental Health
Fundersnot available
KeywordsRepentancePhilosophyMeaning (existential)HebrewRelation (database)IslamScholarshipRegretEpistemologyTheologyLiteratureLawArtLinguisticsPolitical science

Abstract

fetched live from OpenAlex

Abstract Although generally translated as ‘repentance’, tawba, like its Hebrew equivalent, teshuvah, simply means ‘turn’ or ‘return’. It is used in the Qur'an to describe actions of both human beings and God. Even though the idea of tawba subsumes the notion of ‘repentance’ (from the Latin paenitere, ‘to be sorry’, ‘to grieve’, or ‘to regret’), its meaning is not limited to that. The tendency within much of Western scholarship on Islam to understand tawba simply as repentance, and mostly human repentance, may well reflect certain presumptions about repentance and its place in religious life, which, one might argue, are absent in Islam. This article explores the understanding of tawba in the thought of Ibn al-cArab (1165–1240 CE), whose most extensive reflections on it appear in chapters 74 and 75 of his Meccan Revelations. It focuses on the first of these chapters which concentrates primarily on the conditions set by many of the religious authorities as the fundamental components of human tawba. Ibn al-cArab's response reflects certain central motifs that permeate his literary oeuvre. These motifs and their wider relation to his views on tawba will be highlighted as our discussion of this important Sufi maqām (station) unfolds.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.634
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 studies0.0020.001
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 head0.013
GPT teacher head0.246
Teacher spread0.233 · 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.

Study designNot applicable
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

Citations5
Published2006
Admission routes1
Has abstractyes

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