Bibliographic record
Abstract
As a cultural worker during the Cold War writing from behind, and about, the Iron Curtain, Czech writer Milan Kundera was subject to a double politicization of his vocation. On the one hand, within his own country, writers, artists, and intellectuals were forced to fit the socialist cultural program, or they were silenced. On the other, in the international arena cultural workers were being employed like never before in a war for cultural supremacy. Kundera resisted the politicization of culture, both within Czechoslovakia and internationally. He was critical of any regime or party that prioritized political ends over cultural ones, or that treated culture as a means rather than an end in itself. Kundera finds a literary mode of resistance to the overwhelming politicization of culture in the late Cold War years. In The Art of the Novel (1986), Kundera theorizes the novel form as radically apolitical. In The Book of Laughter and Forgetting and The Unbearable Lightness of Being, he puts this into practice: where politics – totalitarianism as one of its most acute iterations – requires unitary meanings, perfect façades, and generic, kitschy artistic forms, these texts, in true novelistic fashion, deal exclusively in complexity, unsightliness, and unformulaic genre mixing.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.041 |
| Scholarly communication | 0.013 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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".