Bibliographic record
Abstract
The narrative dealing with the official founding of Ava as recorded by both the Old Burmese inscriptions and later Burmese chronicles is the subject of this chapter. Practical, strategic, and military concerns, especially the impact of the Syam (Shan) raids, were paramount in choosing the site on which Ava stood. Thadominbya and Minkyiswa Sawkai were the two kings responsible for the founding and establishment of the new dynasty and kingdom. Without them, and ministers such as Minyaza, the period of dis-integration that followed Pagan’s decline would surely have not abated, but perhaps continued well into the third quarter of the fourteenth century, making re-integration that much more difficult. Original and contemporary epigraphic evidence is used to supplement the chronicle narrative in this reconstruction of Ava’s founding, not only providing viability to the account, but also allowing the reader to gain some insight into the nature of the indigenous chronicles and their perspective on the factors responsible for the establishment of Ava.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.014 | 0.003 |
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".