Algunos apartes de la traducción jurídica y oficial en Colombia
Bibliographic record
Abstract
La traducción jurídica tiene gran demanda hoy en día, especialmente por la apertura de los mercados y por asuntos de cooperación internacional, como lo afirma Borja (2007). Ante esta necesidad inmediata, ¿Estamos los traductores colombianos preparados para satisfacer la demanda del mercado local y competir en el mercado global? ¿Tenemos las competencias necesarias para hacer traducciones en este lenguaje de especialidad?Este artículo parte de una base teórica sobre traducción jurídica que incluye un análisis de competencias del traductor de este lenguaje especializado, para posteriormente contrastar la teoría con la realidad del gremio en Colombia y con la certificación actual de traductor oficial. El propósito final del artículo es analizar la necesidad real de formación de traductores jurídicos, de acuerdo con la demanda actual.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.017 | 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".