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Record W4380285879 · doi:10.5539/ach.v15n1p111

Construction Analysis of “Srōš Bāǰ”: The Opening Part of the Zoroastrian Prayer

2023· article· en· W4380285879 on OpenAlexvenueno aff
Poorchista Goshtasbi Ardakany

Bibliographic record

VenueAsian Culture and History · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicLinguistics and Cultural Studies
Canadian institutionsnot available
Fundersnot available
KeywordsZoroastrianismPrayerPersianTheologyChemistryReligious studiesPhilosophyIslam

Abstract

fetched live from OpenAlex

The present study examines the structure of Srōš Bāǰ Avesta, which forms the first part of the Zoroastrian prayer, in order to determine its different parts and how to construct it. The Zoroastrian prayer was created by Zoroastrian religious leaders, and over time Zoroastrian religious leaders added things to it or subtracted things from it. In this research, it will be determined from which part of the Avesta each part of Srōš bāǰ was taken and which parts were made by Zoroastrian religious leaders and included in this Avesta. In this article, both Iranian Srōš Bāǰ and Indian Srōš Bāǰ will be examined and analyzed in order to determine the structure of each one from which part of the Avesta it is taken from. Based on the findings of this research, Indian Srōš Bāǰ has parts of Avesta that Iranian Srōš Bāǰ does not have. Also, Indian Srōš Bāǰ has two parts in Pārsī Gujarātī language and Iranian Srōš Bāǰ has a part in Persian language. The results obtained from this research show that Pārsīs of India read Srōš Bāǰ in a different way at the beginning of their prayers, and Pārsī religious leaders have added parts to it to complete Srōš Bāǰ.The author of this article is one of the Iranian Zoroastrians and is fully acquainted with the prayers of the Pārsīs of India and the Pārsī Gujarātī language.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.891
Threshold uncertainty score0.301

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.037
GPT teacher head0.212
Teacher spread0.174 · 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.

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
Published2023
Admission routes1
Has abstractyes

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