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Recovering Two Lost Treatises on Approximating the Sine of 1 ° from Qushjī’s Commentary on Zīj-i Ṣulṭānī

2025· article· en· W6903292079 on OpenAlexaff

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2025
Typearticle
Languageen
FieldPhysics and Astronomy
TopicHistorical Astronomy and Related Studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsAstronomerSineSine qua nonRulerRubricGenius

Abstract

fetched live from OpenAlex

The accuracy of medieval approximations of the Sine of 1° reached its peak with the works of the Persian mathematician and astronomer Ghiyāth al-Dīn Jamshīd al-Kāshī (d. 832/1429), and his patron Ulugh Beg (d. 853/1449), the Timurid ruler of Transoxiana and a mathematician and astronomer in his own right. Their works were written during the active phase of the Samarkand observatory, which was founded by Ulugh Beg and whose final product, Zīj-i Sulṭānī, was the most accurate zīj of the medieval period. Even though neither of their treatises on approximating the Sine of 1° has reached us, Kāshī’s and Ulugh Beg’s approximation methods were transmitted through the works of their colleagues at the observatory, namely Qāḍī-zāda al-Rūmī’s (d. after 844/1441) recension of Kāshī’s treatise and ʿAlāʾ al-Dīn ʿAlī al-Qūshjī’s (d. 879/1474) commentary on Zīj-i Sulṭānī. Unlike Qāḍī-zāda’s treatise, Qūshjī’s commentary has not received the attention it deserves from historians. Thus, it has not been noticed that what is presented in Qūshjī’s commentary under the rubric of “Ulugh Beg’s demonstrative method” is, in fact, a synthesis of Kāshī’s and Ulugh Beg’s approximation methods. The present article aims to fill this gap by offering an edition and English translation of the relevant passages of Qūshjī’s commentary, disti

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.194
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.120
GPT teacher head0.498
Teacher spread0.378 · 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 teacher head, not a consensus.

Study designObservational
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
Published2025
Admission routes1
Has abstractyes

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