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Record W2889351000 · doi:10.18732/hssa.v6i0.34

Origins of the Tājika System of Astrological Aspects and Dignities

2018· article· en· W2889351000 on OpenAlexvenueno aff
Martin Gansten

Bibliographic record

VenueHistory of Science in South Asia · 2018
Typearticle
Languageen
FieldPhysics and Astronomy
TopicHistorical Astronomy and Related Studies
Canadian institutionsnot available
Fundersnot available
KeywordsAstrologyNinthArabicHistoryPhilosophyLiteratureClassicsLinguisticsEpistemologyArt

Abstract

fetched live from OpenAlex

The astrological doctrines of aspects and planetary dignities found in the authoritative texts of the Tājika (Sanskritized Perso-Arabic) school are examined with respect to their origins and historical development, with particular emphasis on Balabhadra’s encyclopaedic Hāyanaratna (1649) and its quotations from the perhaps earliest work of the school, Samarasiṃha’s Tājikaśāstra (thirteenth century). It is argued that a major source of these doctrines is Sahl ibn Bishr’s Arabic-language intro­duction to astrology (ninth century), possibly in abbreviated or paraphrased form. Several of the constituent ideas have been imperfectly understood by their Indian epitomists, resulting in reinterpretations and innovations.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0040.021
Scholarly communication0.0030.002
Open science0.0000.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.014
GPT teacher head0.207
Teacher spread0.193 · 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

Citations3
Published2018
Admission routes1
Has abstractyes

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