Construction Analysis of “Srōš Bāǰ”: The Opening Part of the Zoroastrian Prayer
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".