Solving the Mystery of Mowbed Kird-īr’s Journey to Heaven
Bibliographic record
Abstract
In this research, the journey of mowbed Kird-īr to heaven will be investigated. Kird-īr was a great Sassanid priest who has mentioned the description of his ascension in two of his inscriptions. These two inscriptions are Naqsh-i Rostam (KNRm) and Sar Mashhad (KSM). According to the findings of this research, after examining all the events that happened in the ascension of Kird-īr, it was determined that this ascension was based on Mani’s religion. As it can be seen from the existing Manichaean texts, this ascension describes the events that happen to the soul of a righteous person after death in the Manichaean religion. According to the available documents, Kird-īr was the leader of Mazda-worshipper religion. He was from the royal family and from the Greater Khorasan, Wakhan region.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".