Application of the Interpretive Theory of Translation in Interpreting Practice
Bibliographic record
Abstract
This paper makes a research on Application of the Interpretive Theory of Translation in Interpreting Practice and reviews the major developing condition and applications of interpreting studies throughout its history, from which we can see that research methodology of interpreting studies is evolving from objective speculation based on experience to objective description based on data. Since the establishment of the 1980s, with the gradual improvement of the theoretical framework and unique theory angle of view, Interpretive Theory became the dominant interpretive theory in the western countries, leading the Western interpretation research into a new stage dominated by practitioners, which has a significant influence on the research of interpreting in China as well. The theory still has an important guiding significance on the nature of translation, analysis of interpreting process and objects, ideas on interpreting teaching, and on today’s interpreting practice and teaching. This paper tries to make a comprehensive evaluation on the background, developing lines, basic views, creative contribution and prospects, in the hope of promoting the theory in China.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.066 | 0.068 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.009 | 0.007 |
| Science and technology studies | 0.006 | 0.072 |
| Scholarly communication | 0.013 | 0.019 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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.
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 source (direct Gemma or distilled Codex), 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".