Bibliographic record
Abstract
Toward the end of his 1813 lecture “On the Different Methods of Translation,” Friedrich Schleiermacher refers to “an inner necessity” that has driven the German people to “translatingen masse”(28). Schleiermacher was thinking of the abundance of translations by contemporaries such as Friedrich Hölderlin, Wilhelm von Humboldt, and the brothers Wilhelm and August Schlegel, poets and scholars whose versions of Sophocles, Pindar, Aeschylus, Plato, and William Shakespeare promised to carryover into German culture “all the treasures of foreign arts and scholarship” (29). It is a noble and elevating vision of the role of translation and of the task of the translator. But another, much more authentically “mass” or “large‐scale” form of translation activity escapes Schleiermacher's notice (it is beneath his notice): driven less by “inner necessity” than by commercial interest, carried out not by renowned poets but by anonymous journeymen, the translation of the novel marks the true beginning of mass literary translation in the nineteenth century. The popular appeal of novels outside of their country of origin created an increasingly lucrative international market for publishers, who were quick to capitalize on the growing literary reputations of certain authors abroad. Within a year of its publication in 1719, Daniel Defoe'sRobinson Crusoe, taken by some (e.g., Ian Watt) to be the first novel in English, was translated into French, German, and Dutch; by the end of the nineteenth century, in addition to 277 imitations (arguably a form of translation), it had been translated 110 times, including into Hebrew, Armenian, Bengali, Persian, and Inuit (Fishelov, 343). Thanks to an army of translators, Defoe's novel reached a vast, worldwide audience for which it was not originally intended. Defoe's publishers might well have mused, along with Goethe, that “national literature is now a rather unmeaning term; the epoch of world literature is at hand” (qtd. in Damrosch, 1).
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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 | 0.012 | 0.034 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.005 | 0.009 |
| Scholarly communication | 0.014 | 0.011 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.119 | 0.070 |
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".