Bibliographic record
Abstract
This paper is based on an empirical study of teaching liaison interpreting – specifically, dialogue interpreting, consecutive interpreting and sight translation – by distance mode. In this research, two groups of students were recruited – the experimental group to be taught by distance mode and a control group trained face-to-face. The training program lasted for 13 weeks or 39 hours, with three contact hours per week. The training followed the principle that no face-to-face contact with distance students was made during the training process, including the final examination. The major media used in the research included sound-only teleconferencing, telephone and the Internet. Students’ interpreting skills including language transfer and paralinguistic skills were assessed in different tests including an independent national test. The results of the research indicate that students trained by distance mode can achieve a level similar or comparable to those trained in the face-to-face manner in terms of interpreting ability and skills. The research has generated pedagogical implications for future attempts to teach interpreting by distance mode.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.004 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".