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Record W2091431955 · doi:10.7202/002085ar

Problems in Interpretation

2002· article· en· W2091431955 on OpenAlexvenueno aff
Elizabeth Biscaye

Bibliographic record

VenueMeta Journal des traducteurs · 2002
Typearticle
Languageen
FieldHealth Professions
TopicInterpreting and Communication in Healthcare
Canadian institutionsnot available
Fundersnot available
KeywordsInterpretation (philosophy)Government (linguistics)Feature (linguistics)Computer scienceLinguisticsPolitical scienceProgramming languagePhilosophy

Abstract

fetched live from OpenAlex

The Government of the Northwest Territories currently provides interpreting and translating services in French, English and seven northern aboriginal languages. Simultaneous interpreting was, until recently, only delivered in Inuktitut. With increasing demand, and improvements to training programs, it is now provided in the Dene languages as well. Relay interpreting, a unique feature to the NWT interpreting services, plays an important role due to the multiple languages dealt with on a regular basis. This paper will discuss the importance of, and problems encountered with, simultaneous interpreting in the NWT.

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)0.135
metaresearch head score (Gemma)0.324
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.135
Threshold uncertainty score0.712

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1350.324
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0070.007
Science and technology studies0.0130.060
Scholarly communication0.0160.029
Open science0.0110.015
Research integrity0.0120.021
Insufficient payload (model declined to judge)0.0140.007

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 head0.146
GPT teacher head0.407
Teacher spread0.261 · 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 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

Citations4
Published2002
Admission routes1
Has abstractyes

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Same venueMeta Journal des traducteursSame topicInterpreting and Communication in HealthcareFrench-language works237,207