Die Toten im dritten Raum: Grabmäler als Orte der Begegnung zwischen Angehörigen verschiedener Religionen bei Wolfram von Eschenbach und Wirnt von Grafenberg
Bibliographic record
Abstract
This article explores the question as to how and when tombs in medieval narrative texts can be viewed as ‘third spaces’ that are used in order to define relations between members of different religious communities. In Wolfram von Eschenbach’s ‘Parzival’ and ‘Willehalm‘ as well as in Wirnt von Grafenberg’s ‘Wigalois’ tombs and the spaces around these tombs are presented as places where Christians and ‘Heathens’ negotiate their coexistence. In ‘Parzival’, for example, Gahmuret's tomb is a memorial to a shared past that does not cause any future cooperations. In ‘Willehalm’ the burials of members of both groups demonstrate the present need to strictly distinguish between the religious spheres. In ‘Wigalois’, however, a ‘heathen’ princess’s tomb becomes a place in which new alliances can be formed. It can thus be considered a ‘third space’ – if only temporarily. Moreover, it illustrates how a narrative text about the encounter between religious and worldly semiotic systems integrates Christian imperatives but also uses them in order to create new norms of courtly existence.
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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 | 0.006 | 0.012 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.000 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".