Perfume of Musk in the Narrative of “One Thousand and One Night” (Alf Lailah Wa Lailah)
Bibliographic record
Abstract
This study aims at discussing in usages of Musk in fables of the Narrative of “One Thousand and One Night” (Alf Lailah Wa Lailah), and since most of fables provided in the Narrative are performed on imagination the perfumes were heading their vocabulary, for their connection with the psychological factors that form the movement of human beings. And employing musk had been strongly present in that narrative, and the narrative asserted on the people, who were employing musk were from the rich and luxurious class in the community, because of its high price, the matter that enhanced, in turn, at the author of the narrative to go on dyeing his fables related with the first class with the scent of musk to bestow upon them something of reality. This is in addition to looking at some usages of musk that were connected with myths and legends for the musk to be the ambassador between reality and imagination.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.007 | 0.004 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".