Translation in Romania: Steps towards recognition and professionalization
Bibliographic record
Abstract
The article proposes a survey of the Romanian context with regard to the translation profession, especially with reference to directions of development after 2007, i.e., the year of Romania’s accession to the EU. The research focuses on the configuration of the Romanian translation market and community in order to understand how the combination of international integration, academic efforts and involvement of professionals have made it possible to generate in a relatively short time a genuine marketplace and one that is rapidly making its mark on the European and international levels. The key questions are related to the level of awareness of the general population and academic institutions regarding translation market issues, the degree of recognition of language professions on a social and economic level and the extent to which professionalization has taken place to include a collective professional conscience. To these aims the following aspects will be reviewed: the underlying principles that build up the current context for translation in Romania, the developments in training, market practices and the relation to the European profession and academic environment.
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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 | 0.036 | 0.027 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.008 | 0.019 |
| Scholarly communication | 0.017 | 0.012 |
| Open science | 0.002 | 0.015 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".