A sea of languages : rethinking the Arabic role in medieval literary history
Bibliographic record
Abstract
Medieval European literature was once thought to have been isolationist in its nature, but recent scholarship has revealed the ways in which Spanish and Italian authors including Cervantes and Marco Polo were influenced by Arabic poetry, music, and philosophy. 'A sea of languages' brings together some of the most influential scholars working in Muslim-Christian-Jewish cultural communications today to discuss the convergence of the literary, social, and economic histories of the medieval Mediterranean. This volume takes as a starting point María Rosa Menocal's groundbreaking work The Arabic Role in Medieval Literary History, a major catalyst in the reconsideration of prevailing assumptions regarding the insularity of medieval European literature. Reframing ongoing debates within literary studies in dynamic new ways, 'A sea of languages' will become a critical resource and reference point for a new generation of scholars and students on the intersection of Arabic and European literature
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.008 | 0.016 |
| Scholarly communication | 0.012 | 0.011 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".