Bibliographic record
Abstract
Public signs in English are windows of China to Foreigners. This paper discusses the linguistic and functional features of English public signs, moreover, it puts forward five approaches to dealing with the translation of the public signs in Chinese to the public signs in English. Keywords: public signs, linguistic feature, functional feature, C-E translation Resume L’article present analyse les caracteristiques langagieres et fonctionnelles du langage d’annonce, et propose cinq techniques de traduction du langage d’annonce chinois en anglais sous l’angle de la semiotique sociale. Mots-cles: langage d’annonce, caracteristiques langagieres, caracteristiques fonctionnelles, traduction du chinois en anglais 摘 要 本文分析了英語公示語的語言特點和功能特點，並從社會符號學翻譯法的角度提出了五種公示語漢 譯英方法和技巧。 關鍵詞：公示語；語言特點；功能特點；漢英翻譯
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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 teacher head, 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".