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Record W2776438708 · doi:10.5539/ijel.v8n2p279

Modeling of Role-Behavior of Students-Translators in the Lessons on Professionally-Oriented Translation at Spanish Language Faculty

2017· article· en· W2776438708 on OpenAlexvenueno aff
Imanova Elvira Mahammad

Bibliographic record

VenueInternational Journal of English Linguistics · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicTranslation Studies and Practices
Canadian institutionsnot available
Fundersnot available
KeywordsVocabularyTheme (computing)Task (project management)Diversity (politics)Computer sciencePsychologyTranslation (biology)Foreign languageLinguisticsMathematics educationSociologyManagementWorld Wide WebPhilosophy

Abstract

fetched live from OpenAlex

The article deals with role behavior of students-translators in professionally-oriented translation lessons. The task of the given article is to look through the samples of intensive teaching of professionally-oriented translation at translation faculties, which is based on the exercises of role behavior. Translation is known to be one of the difficult, debatable and interesting matters in a language. Main target of learning a foreign language is bilingual communication, but in the profession of translator bilingual communication can be called its essence. Modern role theory is based on the concept of George Herbert Mead. The other specialist—Morton Deutsch and Robert Krauss define the following aspects of roles:- Role as a system of expectations, which exists in the society.- Role as a system of specific expectations with respect of the individual to itself.- Role as an open, observed behavior of an individual, occupying a definite position.To the professionally-oriented translation we can refer the sequential (or consecutive) translation.Role behavior exercises can be divided into two types:The 1st type includes the exercises, which are used at first and which imply minimal lexical loading for students. The 2nd type includes exercises with role behavior, which is characterized by the complex vocabulary of professionally-oriented character. For the diversity of professionally-oriented lexics, theme of the exercises with role behavior can be changed and extracurricular practice can be organized. For example, these can include situations on the excursion to a museum.The following authors devoted their works to this matter: Christine Durieux, Pérez Gamero, Hurtado Albir, Borrás Espasa, Gonzales Davies. All of them have the same viewpoint that for the beginning translator should know the theme of translation and specifics of professionally-oriented translation, possess extra knowledge and gather information rightly.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.027
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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.

Opus teacher head0.091
GPT teacher head0.396
Teacher spread0.305 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations0
Published2017
Admission routes1
Has abstractyes

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