“The Walter Scott of Tahiti”: Robert Louis Stevenson’s Ballad Translation
Bibliographic record
Abstract
Abstract This paper examines the unrestrained license that Robert Louis Stevenson used while composing his ballad, “Song of Rahéro: A Legend of Tahiti,” which is a translation of a traditional Tahitian legend. Stevenson attempted to replicate Tahitian rhythms in his translation, thus bringing foreign forms and, in transliteration, foreign words, to a traditionally British genre. Moreover, his formal choices – blending the epic into his ballad – helped to make “Song of Rahéro” a unique work in Stevenson’s Pacific oeuvre, as it depicts characters radically unlike the Tahitians portrayed in texts associated with evolutionary anthropology. Stevenson’s “Song of Rahéro” features confusing transitions and awkward phrasing, but, as Walter Benjamin has argued, even “bad” translations may adapt “meaning” well. An understanding of the form and composition of this under‐studied work can shed new light on Stevenson’s conception of, and translation of, the South Pacific. Intriguingly, the paratexts to “Song of Rahéro” undermine the politics of the text that they frame. While “Song of Rahéro” represents strong Tahitian characters, the preface and annotations position Stevenson as one more capable of sophisticated analysis than his sources.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".