Islamic Ethics: Fundamental Aspects of Human Conduct, written by Abdulaziz Sachedina
Bibliographic record
Abstract
In 2022 the prominent scholar Abdulaziz Sachedina enriched the field of Islamic ethics with a new publication titled Islamic Ethics: Fundamental Aspects of Human Conduct. Having received his education at religious seminaries and modern universities in India, Iraq, Iran (where he studied under Ali Shariati, d. 1977), and Canada, he settled down at the University of Virginia in the US, where he stayed for about four decades. Sachedina has mostly written on Islamic messianism from a Shīʿī perspective, jurisprudence and biomedical ethics, and pluralism. Among his publications are The Just Ruler in Shiʿite Islam (1988), The Islamic Roots of Democratic Pluralism (2001), Islamic Biomedical Ethics (2009), Islam and the Challenge of Human Rights (2009). In the introduction to the current book, he says that writing on ethics has been on his “things to do list” for a long time. Other Information Published in: Journal of Islamic Ethics License: https://creativecommons.org/licenses/by/4.0/ See article on publisher's website: https://dx.doi.org/10.1163/24685542-20240001 Volume and issue information: Vol 8 No. 1-2 (2024): December 2024
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 0.003 |
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 source (direct Gemma or distilled Codex), 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".