Cross-Cultural Networking: Translators in the French-German Network of Petites Revues at the End of the Nineteenth Century
Bibliographic record
Abstract
A network of small literary periodicals distributed the principles of Paris-based Aestheticism throughout the industrialized world at the end of the nineteenth century. These publications formed clear links across national borders, and those links were often manifested as translations that helped disseminate knowledge and form a sense of artistic belonging. However, the relations within the network could also be actively negative, as various receptive strategies used translations and commentaries to defend national rather than international aesthetics. In periods of political tension between France and Germany, such relations were further complicated by use of a wider intercultural space. From 1871, cross-cultural links in the network significantly drew on intermediaries from Belgium, Holland, Alsace and Switzerland, cultural spaces between the main centers of the French-German network. A more centralized desire for intercultural space was nevertheless manifested in 1895, when the Mercure de France and the Neue deutsche Rundschau jointly organized questionnaire surveys of the cultural relations between France and Germany. The strategic use of intercultural space in these circumstances can be shown by following the translations into French of Wagner and Nietzsche, which could have extended the network and increased cross-cultural understanding. By the end of the century, however, most of the potentially affirmative relations had unraveled and intermediaries began to take sides. The points of contact in the network, including the translators and translations, began to mark out differences rather than extensions, as Europe tilted toward the wars of the twentieth century.
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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 | 0.006 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.016 | 0.009 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 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".