Bibliographic record
Abstract
The article is devoted to the influence of ‘Russian fashion’ on the work of the French symbolist Charles Morice (1860–1919), who in the 1880s participated in translations of F.M. Dostoevsky’s and N.A. Nekrasov’s writings into French. The methodological basis of the article is the combination of a historical and literary approach with the study of the essence of cultural clichés in the field of literary relationships (Russian literature — French literature). The article is built on the littlestudied facts of the life and work of Morice, undeservedly forgotten in modern literary criticism both in Russia and in France. The analysis of the actual connections of Morice with cultural mediators (translator Ilya Danilovich Halperin-Kaminsky, diplomat and novelist Eugène Melchior de Vogüé), and the general context of the perception of Russian culture in France in the last quarter of the 19th century, when Russian literature for the first time in history began to be perceived as a source of inspiration for French. Being greatly influenced by the ideas of Vogüé, developed in the book Russian Novel (1886), Morice sees in Russian literature a reflection of his mystical and social concepts. Religious searches of Tolstoy and especially religious and philosophical ideas of Dostoevsky were influential in the conversion of Morice to Catholicism. The article deals with cases of direct reception of both ideas about Russian literature and the work of individual writers (mainly Dostoevsky) in the literary books of Morice, as well as in his works, the unfinished novel The Lonely Spirit (1886) and the play He is Risen! (1911).
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.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.018 | 0.015 |
| Scholarly communication | 0.006 | 0.001 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".