Bibliographic record
Abstract
St Stephen, the founder of the medieval Hungarian state and a powerful supporter of the Catholic Church, canonized as early as 1083, offers an interesting example of how a patron saint’s cult can be redefined and revitalized under changing socio-structural and political circumstances. Although fading at times, there is a continuous line of reference to him over the centuries. In this respect, certain interesting steps were undertaken during the economic, political and cultural modernization period of the Dualist era at the end of the nineteenth century, in a society still influenced by traditional religion, but also in the Communist state of the second half of the twentieth century, a state hostile to religion and a society already secularized in its structural and cultural aspects. The post-Communist period after 1989 brought additional perspectives to the reinterpretation and refunctionalization of the national patron saint. St Stephen’s case also offers the opportunity to investigate how these reinterpretations have been executed in a field of complementary cults, supplementing and specifying also the meaning of the former, turning it into a ‘lieu de mémoire’ 1 or a ‘narrative abbreviation’ 2 in modern society. In this respect, the patron saint was placed in a field of competing points of reference, marking different narratives of the national past, different interpretations of the composition of the political community, and different definitions of the mission of that community or the challenges faced by it. 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.
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 | 0.000 | 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 | 0.003 | 0.006 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".