Bibliographic record
Abstract
Abstract This article examines a little-known corpus of illuminated Qurʾān manuscripts that were produced between ca. 1750–ca. 1850 in the Swahili city-states of Pate, Siyu, and Faza on Pate Island in the Lamu archipelago (Kenya). Now dispersed in collections in Kenya, Tanzania, Oman, the UK , and the USA , the manuscripts have many distinctive features: decorative frontispieces, sūra titles, basmala s, and division and prostration markers; locally developed Arabic script styles; colophons containing names of copyists and completion dates; endowment dedications; northern Italian-made paper; and, blind-stamped, leather covers. The list of known manuscripts presented in the appendix is aimed at encouraging the identification, digitization, and study of other manuscripts in the corpus. The study of their content, materiality, and contexts of production can advance scholarship on the histories of Islamic manuscript production in coastal East Africa and provide comparative material for manuscript studies in other regions of Eastern Africa and the Indian Ocean.
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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 | 0.000 |
| 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".