From a Distance? The New Siberian Myths in Historical Fiction for Young People
Bibliographic record
Abstract
The myth of Siberia – understood as the “land of exile”– is present in the collective imaginations of many nations of the former Eastern Bloc. The experiences of forced deportations and the atrocities directed toward various peoples inhabiting the Soviet Union appear in books published in Poland, Lithuania, Canada, the USA, and, less frequently, Russia. This essay examines the symbol-myth of Siberia in the next-generation memories of Russians and non-Russians depicted in selected books for young people authored by Olga Gromova (Russia), Dorota Combrzyńska-Nogala (Poland), Marcin Szczygielski (Poland), Jurga Vilė and Lina Itagaki (Lithuania), and Gabriele Goldstone (Canada). Studying texts set in the 1930s and 1940s, the authors of this essay argue that the depictions of the fate of children in the chronotope of Siberia, a symbol of all distant parts of the USSR, reveal the presence in literature for young people a new myth reflecting the place of exiles in cultural memory and post-memory.
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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 | 0.009 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".