« Nous sommes morts de peur » : considérations pathémiques sur les opuscules antiturcs de Marko Marulić de Split
Bibliographic record
Abstract
The incursions of the Ottomans into Europe starting in the fourteenth century gave rise to a particular genre of literature known as “antiturcic” (antiturcica), by turns warlike, prophetic, and historical. In this vein, the Dalmatian Marko Marulić of Split (1450–1524) composed a Prayer against the Turks (of uncertain date), the Lament of Jerusalem (ca. 1517), and a letter requesting the help of Pope Adrian VI (1522). Marulić was closely familiar with the Ottoman threat: during his life the Ottomans conquered Constantinople, Jerusalem, Syria, Egypt, Serbia, Bosnia, Herzegovina, and finally Belgrade (in 1521)—a victory which cleared their way into Hungary and Croatia. Out of the passionate study comprising these three Marulian antiturcica emerges a rhetoric demonizing the Ottomans, which not only attests to the violent emotions experienced by their author, but also justifies a merciless war against an enemy portrayed as cruel, insatiable, and invincible.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".