Love and Alcohol: Performance in the Fiction and Life of Writer-Singer Nataliia Medvedeva
Bibliographic record
Abstract
The multifaceted Russian author, singer, and actress Nataliia Medvedeva’s (1958–2003) creative output was synonymous with performance. Her image became iconic in worldwide popular culture as the carefree, smiling young woman on the cover of the New Wave rock group “The Cars”’s eponymous 1978 album. Then Medvedeva was twenty years old and had been living in the United States for about three years; she returned to Russia in 1994 after nineteen years abroad, mainly in the US and France, and died at the age of forty-four, possibly of a fatal mixture of alcohol and tranquilizers. By the time of her death, Medvedeva—author, poet, journalist, singer, musician, model, and designer—was, and remains, an enigmatic yet colourful figure of the Russian émigré and post-Soviet literary, music, and cultural scenes.From an early age in Leningrad, she showed an aptitude for constructing performance and (re)presenting herself. This article suggests that Medvedeva used her early autobiographical writing as a method of thinking through her ideas and beliefs about the nature of performance, especially as it related to perceptions of the sexual, sexuality, and shocking-ness, as well as to the relationship between the audience and herself, indeed, between society and the self. To support my thesis, I focus, in particular, on her autobiographical novel Liubov’ s alkogolem [Drunk Love, 1987?, 1995, 2001], as well as foundational ideas from the field of performance studies.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".