Bibliographic record
Abstract
Abstract This article offers an analysis of conceptions of fasting in early Islamic spirituality. By drawing on the literature of Sufism, with special attention to the writings of al-Sarrāj (d. 378/988), al-Makkī (d. 386/996), al-Kharkūshī (= Khargūshī; d. 407/1016), al-Hujwīrī (d. ca. 465/1071), al-Qushayrī (d. 465/1072) and al-Sīrjānī (d. 470/1077), it thematically outlines (1) the value placed on fasting in early tradition, (2) the dangers believed to lie in the practice, and finally, (3) the need to transcend, in the final scheme of things, any attachment one may form with it, through ‘detachment from detachment’. In the process, the article aims not only to decipher and make sense of the various aphorisms and stories that make up the early literature of taṣawwuf, but also to resolve their apparent contradictions.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".