The Tenth International Congress of the Société Rencesvals, Strasbourg, France, 25-31 August 1985
Bibliographic record
Abstract
In Strasbourg's Musée de l'Oeuvre Notre-Dame, a striking stained glass window dated about 1200 depicts a solemn crowned figure seated in majesty.Discovered in 1933, the window which once embellished the cathedral across the street is believed to represent Charlemagne.Strasbourg, crossroads of Europe, a city which treasures this and other mementoes of the Emperor, was the setting for the Tenth International Congress of the Société Rencesvals presided over by Cesare Segre (Pavia).Some two hundred persons were in attendance, including more than a score of members of the American-Canadian Branch and their families.Local arrangements, superby handled by the staffs of the Centre de Philologie Romane and of the Faculté des Lettres Modernes, were coordinated by Claude Buridant (Strasbourg) ably assisted by François Suard (Lille).Papers were presented on three broad themes:• Monasteries, churches, pilgrimages: epics and their diffusion.• Recent developments (linguistics and literary) in research on the epic.• Reciprocal epic relations between the Romance and Germanic areas.Roundtables were also held on methods, metrics, and work in progress.The proceedings will be published by the Centre d'Aix, Université de Provence, which, it will be recalled, printed the papers read at the Sixth Congress held in 1973.(For further information, contact Jean Subrenat, 2,
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.072 | 0.016 |
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".