Bibliographic record
Abstract
A cross evidences of archaeological and literary sources would suggest that a major portion of the present town of Patna stand almost on the ruins of an ancient city known by different names, Pataligrama, Pataliputra, Puspapura and Kusumapura. Of all these names, Pataliputra appears to have been the most popular since it is mentioned in the literary records of different periods. Megasthenes, the Greek ambassador who visited the court of Chandragupta Maurya, calls it Palimbothra (Pataliputra). Patanjali, the famous grammarian of the second century B.C., calls it Pataliputra. The name Puspapura figures in the Yugapurana while in the Tattvarthasutra of Umasvati, a celebrated Jain author who lived here in the first-second centuries A.D., the place is described as Kusumapura. Fa-hien, who visited the city in the first decade of fifth century A.D., and his compatriot Hiuen-tsang who came here in the second quarter of the seventh century A. D., also knew it by the name Pataliputra.
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 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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.012 |
| Science and technology studies | 0.008 | 0.006 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 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".