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Record W4410305042 · doi:10.13173/9783447123969.021

From a Distance? The New Siberian Myths in Historical Fiction for Young People

2025· book-chapter· en· W4410305042 on OpenAlex
Sylwia Kamińska-Maciąg, Mateusz Świetlicki

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueHarrassowitz Verlag eBooks · 2025
Typebook-chapter
Languageen
FieldArts and Humanities
TopicFolklore, Mythology, and Literature Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMythologyHistoryLiteratureArt

Abstract

fetched live from OpenAlex

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.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.481
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.018
GPT teacher head0.217
Teacher spread0.199 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it