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Record W4306828742 · doi:10.18732/hssa85

Borrowings Kṣuta-/kṣut- (“Inimical”) and Vidumāla- (“Retrograde”) in Sanskrit Astrological Texts, and the Representation of Semiticʿayn in Similar Loans

2022· article· en· W4306828742 on OpenAlexvenueno aff
Ola Wikander

Bibliographic record

VenueHistory of Science in South Asia · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicLinguistics and language evolution
Canadian institutionsnot available
FundersWolfson College, University of CambridgeCentre for Research in the Arts, Social Sciences and Humanities, University of CambridgeRiksbankens JubileumsfondSwedish Collegium for Advanced Study
KeywordsSanskritAstrologySemitic languagesLinguisticsLiteratureArabicHistoryPhilosophyArt

Abstract

fetched live from OpenAlex

This short article deals with the etymologies of two Perso-Arabic loans that function as technical terms in Tājika (Indian astrology imported from the Perso-Arabic cultural area), both appearing in the works of the 13th century CE astrological author Samarasiṃha. The terms are kṣuta-/kṣut- (“Inimical”) and vidumāla- (“Retrograde”) - the meanings of both have been clear for some time, but the article elucidates their exact etymologies, and uses them to argue a rather complex mode of scientific/scholarly transmission, possibly involving as many as four languages: Arabic, Persian, Old Gujarati (or other northern Indo-Aryan vernaculars of the time), and finally Sanskrit. Finally, the article discusses the renderings of the voiced pharyngeal fricative in loans of this type in the light of early Modern Persian orthography and phonology.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.331
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.003
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.024
GPT teacher head0.230
Teacher spread0.207 · 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 designQualitative
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 routes1
Has abstractyes

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