History, Villagers, and the Social Scientists: Wrestling with the Past in the Present
Bibliographic record
Abstract
What is the relationship between the historical Soviet countryside and the post-Soviet present both for the scholars who study them and for the population that inhabits them? Together Margaret Paxson, Solovyovo: The Story of Memory in a Russian Village; Jessica Allina-Pisano, The Post-Soviet Potemkin Village: Politics and Property Rights in the Black Earth; and Douglas Rogers, The Old Faith and the Russian Land: A Historical Ethnography of Ethics in the Urals create a rich, nuanced portrait of contemporary rural life in parts of the former Soviet Union. When one reads the three books together, one finds evidence of interesting continuity alongside dynamism and change that varies depending on the region and on the questions that motivated the researcher. The three works ask in varied ways how individuals in post-Soviet society perceive their world and attempt to live in it. The three studies extend far and wide across the territory of the former Soviet Union: Solovyovo, three hundred miles north of Moscow; the Black Earth, more than four hundred miles to the south; and Sepych, about one thousand miles to the east.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.018 | 0.039 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".