Bibliographic record
Abstract
In most South-East European countries, the institution of a patron saint has seen a revival in the post-Communist period. After 1990, representatives of medieval ‘national’ cultures formed the object of redefined cults, among them founding kings, martyrs, men of the church with outstanding reputation, and also popular heroes from national history. With the Romanians, as elsewhere, medieval patrons were usually saints and martyrs of the early church such as Nicholas, Andrew and George; national patron saints were the exception. In the Principality of Moldavia, the Greek neo-martyr John the New of Suceava was adopted by the ruling prince in 1415 as the country’s patron saint. A cult was created and reactivated several times from the fifteenth to the twentieth century. At the end of the last century, John was canonized properly, declared a pan-Romanian saint, but, in fact, lost his primary medieval functions as a patron and protector to far better-known, much more popular, heroes taken from national Romanian history. The purpose of this chapter is to examine why and how a medieval hero became a national symbol in post-Communist Romania. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".