Ironie als Mittel politischen Engagements: der unzuverlässige Erzähler im Werk Heinrich von Kleists und Heinrich Bölls
Bibliographic record
Abstract
This project examines the role of unreliable narration in the works of Heinrich von Kleist (1777-1811) and Heinrich Böll (1917-1985) as a form of political engagement. Its first section provides an extensive historical analysis of the scholarship on unreliable narration within the field of narratology. It argues for a shift away from structuralist narratological models and toward a hybrid model of historical, cultural and cognitive narratology. Furthermore, the case is made for a reconceptualization of unreliable narration as a fundamental form of "discrepant awareness" and as the equivalent of dramatic irony in prose. Building on this insight, it locates unreliable narrration in the trajectory of avant-gardist and partisan writing. Drawing on concepts of "subversive affirmation", such as Umberto Eco's "communications guerilla warfare", Michel Foucault's "non-positive affirmation", Slavoj Zizek's "over-identification", and Linda Hutcheon's theory of post-modern irony, it argues that unreliable narration is frequently used as a pedagogical tool by way of parodic subversion. The subsequent study of the works of Kleist and Böll further substantiates this claim. In trying to conform to the conventions of his time, the narrator in Kleist's journalistic writing and prose repeatedly cites a variety of contemporary genres, such as the "moralische Erzählung" and the bourgeois tragedy, as well as the aesthetic ideals of German Romanticism. His unreliability, however, allows Kleist not only to circumvent Napoleonic censorship, but also to infiltrate the public discourse and sabotage its codes. A close reading of the novella Michael Kohlhaas reveals how Kleist's narrator makes use of manipulated focalization to steer the reader's sympathies. By way of contrast, Heinrich Böll, in his novels Group Portrait with Lady and The Lost Honor of Katharina Blum, uses a narrator who sees himself as writing in the tradition
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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.016 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.000 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".