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Record W2054384334 · doi:10.7202/009783ar

Moving In-Between: The Interpreter as Ethnographer and the Interpreting-Researcher as Anthropologist

2005· article· en· W2054384334 on OpenAlexvenueno aff
Şebnem Bahadιr

Bibliographic record

VenueMeta Journal des traducteurs · 2005
Typearticle
Languageen
FieldHealth Professions
TopicInterpreting and Communication in Healthcare
Canadian institutionsnot available
Fundersnot available
KeywordsInterpreterGermanEthnographySociologyLinguisticsPoint (geometry)EpistemologyComputer scienceAnthropologyPhilosophy

Abstract

fetched live from OpenAlex

My starting point in this article is the community interpreter who works in social, medical and legal settings, under specific conditions, confronting very delicate ethical problems. In search of a theoretical framework that accounts for the social roles and cultural identities of the community interpreter I began to re-read the German anthropologist and conference interpreter Heinz Göhring. His articles can be positioned between German Studies (‘Deutsch als Fremdsprache‘), intercultural communication studies (including cultural anthropology) and translation studies. I start out with his view of an ideal translator/ interpreter as cultural expert acting like a “mini-ethnographer” and try to go beyond Göhring by connecting his ideas to the concept of the critical ethnographer as model for a professional community interpreter. In this theoretical discussion I want to show how a synthesis of the framework proposed by Göhring and recent anthropological theories can be used for a new professional profile of the interpreter, not only in community settings but in general. Besides aspects concerning translation/ interpreting politics, I wish to foreground that a re-thinking of interpreter roles would/ should also affect translation/ interpreting pedagogy and research.

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)0.008
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.463
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.003
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.004
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 head0.116
GPT teacher head0.467
Teacher spread0.351 · 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; both teacher heads agree on what is shown here.

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

Citations35
Published2005
Admission routes1
Has abstractyes

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