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Record W4224225390 · doi:10.1163/1878464x-01302001

On the Early Collections of the Works of Ġiyāṯ al-Dīn Jamšīd al-Kāšī

2022· article· en· W4224225390 on OpenAlexaffabout
Osama Eshera

Bibliographic record

VenueJournal of Islamic Manuscripts · 2022
Typearticle
Languageen
FieldPhysics and Astronomy
TopicHistorical Astronomy and Related Studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsColophonFolioAstronomerHistoryHistory of the bookClassicsArt historyArtAncient history

Abstract

fetched live from OpenAlex

Abstract Ġiyāṯ al-Dīn Jamšīd al-Kāšī (d. 832/1429), also known as Kāšānī, was a prominent astronomer and mathematician in the 9th/15th century and was a central figure at the observatory in Samarqand under the patronage of Ulugh Beg (r. 811–853/1409–1449), the Timurid ruler of Transoxiana. Kāšī’s works have frequently been copied and circulated in bound collective volumes, the earliest of which was produced during Kāšī’s lifetime by his colleague, Muʿīn al-Munajjim al-Kāšī, and is now held as MS Tehran, Malik 3180. This article introduces the second earliest such volume, which is currently held in a private collection in Toronto, Canada. The only dated colophon in MS Toronto is a forgery. Fortunately, I located another copy of Kāšī’s Miftāḥ al-ḥisāb that was transcribed in the same hand and bears a genuine copy date of 881/1476. Thus, MS Toronto was in fact produced approximately fifty years after Kāšī’s death and about eighty years earlier than the spurious colophon would indicate. In addition to resolving further codicological questions, this article highlights the decorative and paleographic features that make this codex an exemplar of the intellectual and material history of Timurid bookmaking. Ultimately, this codex offers valuable new evidence on the early transmission of Kāšī’s works as bound collections.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.038
Threshold uncertainty score0.082

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0060.006
Scholarly communication0.0040.001
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0250.005

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.

Opus teacher head0.010
GPT teacher head0.201
Teacher spread0.191 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2022
Admission routes2
Has abstractyes

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