“Willkommen im großen Karaoke, das wir Leben nennen”: Bas Böttcher und die Kulissen des Glücks
Bibliographic record
Abstract
Bas Böttcher is one of Germany's most popular and respected spoken-word poets. In 2010 alone, he combined numerous performances in German-speaking countries with international appearances in India, Namibia, Italy, Greece, France, Luxembourg, and Canada. Yet, ever since the advent of poetry slams in the late 1980s and the subsequent resurgence and commercialization of spoken-word poetry, opinion has been divided about this entertaining rediscovery of the inherent orality of poetry. One of the most frequently quoted assessments of performance poetry is Jonathan Galassi's description of it as a "kind of karaoke of the written word". One of Böttcher's own texts, entitled "Popopfer", welcomes the reader/listener into a space that is identified as the "groß[e] Karaoke, das wir Leben nennen". An analysis of other poems by Böttcher reveals a similar concern with themes of imitation and illusion. In "Alles in allem", Böttcher locates the individual in a cinema-like world reminiscent of Plato's cave, where the concept of illusion is central. Similarly, in "Dran glauben", illusion is identified as not only a key characteristic of our consumer-driven society, but also a factor necessary for the maintenance of happiness. This article traces Böttcher's exploration of the related themes of imitation, authenticity, illusion, and happiness and thus provides a response to Galassi's criticism of performance poetry.
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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 | 0.009 | 0.010 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".