The ?“Goodbye? Petrovka”? Plan: ?Moral ?Economy? of ?File ?Sharing? in ?Post?Soviet? Ukraine
Bibliographic record
Abstract
Ukraine, the second most populous of the former Soviet republics, had been named as one of the ten “priority countries” with “unacceptable piracy rates.” Kiev’s open-air Petrovka Market has become a symbol for the blatant distribution of pirated books, films, music, and software. As living standards and disposable incomes have…L’Ukraine, la deuxième ex-république soviétique la plus peuplée, est reconnue comme l’un des dix « pays prioritaires » pour son « taux de piratage inacceptable ». Le marché en plein air de Petrovka à Kiev est devenu un symbole flagrant de la distribution de livres, films, musique et logiciels piratés. Comme le niveau de vie et le revenu disponible ont augmenté de façon spectaculaire…
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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 | 0.001 |
| 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 | 0.003 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.024 | 0.005 |
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".