Nostalgia and the Myth of the Belle Époque in Franco-Russian Literature (1920s–1960s)
Bibliographic record
Abstract
In the aftermath of the Russian Revolution of 1917, many Russian writers including Ivan Bunin (1870–1953) and Nadezhda Teffi (1872–1952) immigrated to France. Their works were imbued with longing for the bygone epoch and for their lost motherland. In Russian émigré literature, this nostalgic outlook produced the mythology of the Belle Époque as the period of prosperity and social harmony. This romanticized view of the past became integrated in the political and intellectual discourses of two influential French writers, Romain Gary (1914–1980) and Elsa Triolet (1896–1970). The article addresses how Russian nostalgia for a pre-1917 period paved the way for the rise of the myth of the Belle Époque, a myth that became increasingly influential in twentieth-century French history.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.018 |
| Scholarly communication | 0.005 | 0.002 |
| 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".