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Record W2757270544 · doi:10.7202/1041030ar

When Translation Competence Is Not Enough: A Focus Group Study of Medical Translators

2017· article· en· W2757270544 on OpenAlexvenueno aff
Matilde Nisbeth Brøgger

Bibliographic record

VenueMeta Journal des traducteurs · 2017
Typearticle
Languageen
FieldHealth Professions
TopicInterpreting and Communication in Healthcare
Canadian institutionsnot available
Fundersnot available
KeywordsCompetence (human resources)PsychologyTranslation (biology)LinguisticsSocial psychologyPhilosophyBiology

Abstract

fetched live from OpenAlex

Functionalist approaches to translation brought about a shift in the status and role of the translator: the translator is now considered to be an active, responsible agent in the communication process, which increases the importance of translation expertise and translation competence. Translation competence has thus attracted mounting research interest; however, empirical studies have primarily been conducted in controlled environments, omitting the translation context that professional translators usually work within. This study offers empirical evidence of the importance of the translation context when investigating translation competence. Based on a previous empirical study of translated Patient Information Leaflets, which showed a lack of translation competence, this study includes the translators’ perception using the focus group methodology. Results show the strong influence of contextual constraints on medical translators’ processes and thus products. The study concludes that an analysis of translation products alone may give a skewed picture of translators’ competence.

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 imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.602
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.201
GPT teacher head0.452
Teacher spread0.252 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations15
Published2017
Admission routes1
Has abstractyes

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