‘Remembrances of a Distant Past’: Generational Memory and the Collective Auto/Biography of Russian Populists in the Revolutionary Era
Bibliographic record
Abstract
Russian Populists of the 1870s generation who remained in the country after 1917 struggled to find a place in the new society but also to defend their legacy as genuine revolutionaries who had pursued a different path from that of the Bolsheviks. Working collaboratively with others of his generation, many of whom were now members of the Society of Former Political Prisoners and Exiles (OPK), Nikolai Charushin wrote his memoirs (O dalekom proshlom, 3 vols, 1926–31) in close collaboration with several other surviving figures in that generation and under duress, to ‘get history right’ and provide an authentic rendition of their life experiences. The authors deploy the tools of memory and generational studies to show how a joint process of memoir writing evolved into one of collective auto/biography. This close study and comparison of the text of Charushin's memoirs with those of others of his generation, of their unpublished correspondence — including previously overlooked letters of Vera Figner — and of the activities of the OPK sheds light on the ‘memory wars’ of the early Soviet era.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.006 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".