“Stars in the Water”: Hermann Broch’s <i>Die Unbekannte Größe</i> and the Language of Interwar Experience
Bibliographic record
Abstract
This article investigates the role of the “Sterne im Wasser” as the central leitmotif in Hermann Broch’s Die Unbekannte Größe (1933). As a plot device, the “Sterne im Wasser” motif fuels Broch’s construction and parody of the main character Richard Hieck’s mathematical world view. Richard’s failures to assign meaning to the “Sterne im Wasser” by means of mathematical reasoning mirror Broch’s critique of the narrowly discursive attempts at meaning-making, and especially logical positivism, that characterize the Viennese interwar period and the late modernist obsession with linguistic precision. Beyond the parodic dimension of Broch’s novel, however, the “Sterne im Wasser” motif also models the production of meaning via metaphor and self-consciously performs literature’s ability to create meaning where other discursive languages fail. What Broch regards as his least successful novel in fact delivers a powerful defence for the necessity of literature in the age of scientific precision.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.023 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".