Bibliographic record
Abstract
János Bak offers a sketch of the politically charged deployment in Hungary of medieval and later myths of national historical origin beginning with the anonymous Gesta Hungarorum of c.1200, which traces the Magyars back to Scythia and which was printed and then translated into Hungarian in the eighteenth century during a period of Romantic nationalism. Bak further discusses the late thirteenth-century Gesta of Simon of Kéza, which links the Hungarians to the Huns, as well as the Cronica de introductione Scytarum in Ungariam et Judaeorum de Aegypto, the rhymed Latin chronicle of the sixteenth-century Calvinist minister András Farkas, which draws parallels between Hungary and the Israelites. Bak concludes by turning to the debates among twentieth-century historians concerning the effects of the recent use of such myths for political propaganda.
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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 | 0.006 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.007 | 0.028 |
| Scholarly communication | 0.010 | 0.012 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 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".