Bibliographic record
Abstract
This paper discusses the Taganka Theatre’s production of Pasternak’s Doctor Zhivago, staged in a remote Moscow suburb. Performed in a Soviet-built palace of culture, the show radically reinterpretsZhivago, transforming it from an intensely personal to a collective narrative. Drawing on a chapter from my book Theatre in Passing: A Moscow Photo-Diary (Intellect 2011), the paper refers to Marvin Carlson, who argues that theatre buildings and their locations greatly impact the overall meaning of a show. Citing evidence provided by cultural theorists, architectural critics, as well as authors and artists, I expand on my earlier discussion of suburbs – a fertile subject attracting a wealth of contradictory opinions. I illustrate my discussion with images of high-rises inspired by the avant-garde photographer Alexander Rodchenko, and pictures of soup cans and cases of Coca-Cola – my tribute to Andy Warhol, who, like Rodchenko, rejected the old in favour of the new. I conclude with a nostalgic shot of a single-family dwelling, reminiscent of the spaces depicted in Pasternak.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 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".