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Teaching Translation for Social Awareness in Toronto

2011· article· en· W2056446201 on OpenAlexaffabout
Rosalind M. Gill, María Constanza Guzmán

Bibliographic record

VenueThe Interpreter and Translator Trainer · 2011
Typearticle
Languageen
FieldArts and Humanities
TopicTranslation Studies and Practices
Canadian institutionsYork University
Fundersnot available
KeywordsAgency (philosophy)SociologyCultural translationPerspective (graphical)Meaning (existential)PedagogySubject (documents)Principal (computer security)LinguisticsComputer sciencePsychologySocial scienceArtificial intelligence

Abstract

fetched live from OpenAlex

This paper addresses the importance of social awareness in translation teaching. On the basis of the authors ’ experiences as translators and as translation teachers in a global city such as Toronto, they discuss some of the challenges encountered in these daily practices. The first part of the paper is based on the experience of teaching Spanish-English translation. It focuses on the construction of the translator’s image and identity by means of including questions of social and cultural agency as part of the translator’s role and self-definition. The second part of the paper focuses on the French-English teaching experience. It discusses translation pedagogy from an ecological perspective centred on boundary-crossing and the observation of inter-language and inter-cultural relationships and proposes a non-authoritarian approach to the construction of meaning. The teaching of social awareness in translation programmes has become a humanitarian necessity in the globalized world. The principal goal of this paper is to call for a pedagogy of translation that focuses on the translator as a subject whose work has social and ethical implications.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.929
Threshold uncertainty score0.987

Codex and Gemma teacher scores by category

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

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 head0.115
GPT teacher head0.323
Teacher spread0.208 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations11
Published2011
Admission routes2
Has abstractyes

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