Bibliographic record
Abstract
In einer dunklen Nacht ging ich aus meinem stillen Haus de Peter Handke s’inscrit dans une forme particulière de littérature d’errance : celle du road novel, qui se développe en Occident après la Seconde Guerre mondiale et qui puise notamment son inspiration chez Jack Kerouac. Or, à la lecture de ce roman publié en 1997, nous constatons que celui-ci se construit en relation avec un autre récit : il s’agit d’Yvain ou le chevalier au lion de Chrétien de Troyes, composé quelque huit siècles auparavant et auquel il est constamment fait allusion de manière plus ou moins directe. Bien plus : l’intrigue de In einer dunklen Nacht semble entièrement calquée sur les temps forts du roman de chevalerie, qu’il reproduit tout en les détournant de leur signification originelle. Nous pourrions alors considérer que le roman de Handke constitue une forme de réécriture parodique du texte de Chrétien de Troyes et que c’est précisément ce procédé de reprise et de distanciation qui permettrait de le définir comme un road novel.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.011 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".