STUDENTS' COGNITIVE PROCESS IN TRANSLATING TEXTS
Bibliographic record
Abstract
Abstract The purpose of this study is to investigate the distinction of translation text through students' cognitive process. Two students of English department were chosen based on purposive sampling method as the research participants. Two texts entitled Understanding United States and Canadian Attitudes toward Work and Kebiasaan Bisa Menjadi Budaya were given to the participants to be translated. Descriptive qualitative method was used as the research methodology. Think-Aloud Protocols (TAPS) methodology and interview were used to collect the data. It reveals based on the data among the product texts, verbalization transcription during the process of translation, and responses transcription during the interview show that the participant derived the proper words to be put in the target text differently. The cognitive processes which involve cognition, memory retention, divergent production, convergent production, and evaluation play a very important role in deciding the proper words in translating the texts. Keywords: cognitive process, translation, think-aloud protocols (taps)
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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 | 0.005 | 0.027 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".