Bibliographic record
Abstract
In his Frankfurt Poetics Lecture, Christian Kracht revealed that he had been abused during his school years at a Canadian boarding school. This speech was framed by two central statements that meta-reflexively processed both the form of the poetics lecture as a place of major public attention and authority and the thematic content of the same through the concept of parody: ‘Everything that takes itself too seriously is ripe for parody; so is this lecture series’ and: ‘today I know that parody can be a cure for abuse’. This double movement from seriousness via parody to playful unseriousness on the one hand, to healing and possibly back to parody on the other, does not only mark the self-reflexive center of the Poetics Lecture but at the same time, as this essay will show, it is also at the center of Kracht’s novels. Thus, the article does not join the chorus of those who now want to read Kracht’s work under entirely new preconditions. Instead, it argues the other way around: the concept of parody introduced in the Poetics Lecture is to be presented as an aesthetic strategy with a particular focus on Kracht’s first novel Faserland.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.005 | 0.014 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".