Zur Beziehung zwischen Literatur und Recht in der deutschsprachigen Gegenwartsliteratur
Bibliographic record
Abstract
Dieser Beitrag untersucht die Beziehung zwischen den Diskursen Literatur und Recht in der deutschsprachigen Gegenwartsliteratur. Ausgehend von der langen Tradition der sogenannten Dichterjuristen (Goethe, Kleist, Kafka) werden aktuelle Tendenzen dieser Beziehung in den Blick genommen. Nach theoretischen Überlegungen zum Teilaspekt law in literature (Recht in der Literatur) erfolgt die Bestimmung von spezifischen Themen, Genres und ästhetischen Besonderheiten der in Frage stehenden Texte. Als Textgrundlage dienen Romane von Juli Zeh und Ferdinand von Schirach. In dieser Analyse werden auch die Adaptionen für Kino und TV einbezogen (die SerieVerbrechen für den TV-Sender ZDF, die auf Ferdinand von Schirachs gleichnamiger Kurzgeschichtensammlung beruht, und die MiniserieA Menina sem Qualidades, eine Adaption von Juli Zehs Spieltrieb für MTV Brasilien).
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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 | 0.006 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.012 | 0.019 |
| Science and technology studies | 0.004 | 0.010 |
| Scholarly communication | 0.010 | 0.010 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.020 | 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".