Bibliographic record
Abstract
A widely translated author, and a prominent voice from post-communist Europe, Dubravka Ugrešić has published a variety of literary forms in addition to literary criticism and translations. Playful experimentation with language, boundaries between texts, and literary conventions as well as an acute awareness of the contemporary socio-political context in which her own texts come to be are among the notable features of her writing. It is her essays, however, that invite a closer look at the interstices between the author and the narrator, the world and the text(s). From her early-1990s essays that were critical of the nationalist discourses of former Yugoslavia and which precipitated her exile through her more recent writing that engages with broader political and cultural questions, Ugrešić has come to embody a public intellectual and transnational writer. I argue that her choice of the essay as the literary form allows her to transcend these two identities, however fluid, and provides her with discursive authority and agency. Cognizant of its legacy and its expressive possibilities, Ugrešić continuously revisits the essay, and, at times, moves it into the realm of theoretical fiction. I shall focus on Ugrešić’s more recent work – the essays from Karaoke Culture, Europe in Sepia and Peščanik.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.043 | 0.020 |
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".