Bibliographic record
Abstract
Oltre la mer saleeOltre la mer salee collects revised versions of twenty-eight papers in English, French, Italian, and Spanish originally presented at the 21st International Congress of the Société Rencesvals pour l'étude des épopées romanes, held in August 2018 in Toronto.Specialists in the field of medieval Romance epic reconsider traditional approaches and present novel research perspectives.Their studies are divided among four major themes: family relations, manuscripts, French epic in England, and travel and exchanges.Although covering a broad spectrum of French, Occitan, Italian, and Spanish epic texts, particular attention is given to late-fourteenth-century epic and to fourteenth-and fifteenth-century prose adaptations.Exchanges between languages and cultures play a major role, both within the epics and throughout the history of their reception.The volume includes contributions on modern adaptations, on parallels between medieval Romance epic and other literatures -from Greek popular song to Brazilian cordéis -and on fragments of epic manuscripts that survived in the Middle East.Other contributions reflect on the interactions between Romance epic and the Latin language, and between French epic and the fine arts.This volume thus convincingly demonstrates one of the key elements of the enduring appeal of medieval Romance epic: its astonishingly international quality, both in the Middle Ages and today.It will be of interest both to specialists of Romance epic and to students of medieval Romance literature and related disciplines, as well as to anyone interested in an overview of current research in the field.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.919 | 0.889 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".