Bibliographic record
Abstract
Cet article a pour objectif de passer en revue le marché coréen de la traduction. La première partie étudie la traduction à la pige en se concentrant sur la Korean Society of Conference Interpretation.On traite des conditions de travail, des tarifs de traduction en vigueur et des problèmes qui en découlent. On explique également ce phénomène unique à la Corée qu'est la « draft translation ». La deuxième partie examine le marché des traducteurs salariés. La dernière partie, quant à elle, divise le marché en catégories en s'appuyant sur les divers types de textes. On ne tient pas compte des textes littéraires, car les cabinets ont principalement à travailler sur des textes techniques et le contrôle de la qualité est relativement sévère. Un autre type de texte pour lequel il y a un marché est le matériel audio-visuel. Finalement, sont émises des recommandations sur la façon de corriger la situation dans quelques domaines.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.023 | 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".