The Story of Lot and the Qurvln's Perception of the Morality of Same-Sex Sexuality
Bibliographic record
Abstract
Discussion of the morality of same-sex sexuality in Islam is beginning to come to the forefront. It is a controversial topic that evokes differing views in Islam and, as such, needs to be addressed and understood. This study narrows the scope of the investigation to the use of moral terminology in the Lot story and elsewhere in the Qur'ăn. The method of semantic analysis that shall be applied is similar to the one espoused by Toshihiko Izutsu. In order to acquire a better understanding of how same-sex practices are qualified morally in the Qur'ăn, same-sex activities shall also be looked at in comparison to other opposite-sex and non-sexual practices. It is my contention that, in the Qur'ăn, same-sex practices are viewed no differently from certain opposite-sex and non-sexual activities. In quoting from the Qur'ăn, I will give my own translation of the Arabic terms that shall be analyzed. In general, however, I adopt Qur'ănic passages from Arthur J. Arberry, The Koran Interpreted, and where necessary, modify Qur'ănic passages with my own translations. I will also use Arberry's verse numbering, following that of Flügel.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.020 |
| Scholarly communication | 0.004 | 0.006 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".