Bibliographic record
Abstract
De la terre a la lune and Voyage au centre de la terre are Lu Xun’s major translation works of the early years. The present paper firstly discusses the edition, language, strategy of these two translations, and on this basis analyses Lu Xun’s argument for effecting changes in the scientific and educational level by means of science fiction. Key words: Lu Xun, Science fiction, Translation Resume : De la terre a la lune et Voyage au centre de la terre sont les premieres œuvres importantes de traductions de Lu Xun. Cet article traite d’abord de l’edition, du vocabulaire, de la strategie des deux traductions, et sur cette base il analyse la proposition de Lu Xun d’utiliser la science-fiction a des fins educatives. Mots cles : Lu Xun, Science-Fiction, Traduction 摘要：《月界旅行》、《地底旅行》是魯迅早年的兩部重要譯作，本文首先探討了這兩部譯作的版本、語言和翻譯策略，在此基礎上分析了魯迅試圖借助科學小說開啟民智的思想。 關鍵詞：魯迅；科學小說；翻譯
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".