Corpus Analysis of English Euphemism in College English (3)
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Euphemism, a linguistic and cultural phenomenon, which serves as a lubricant in people’s communication, has aroused much interest among scholars worldwide. Many researches on euphemism have already been done in different fields, such as in daily conversations, intercultural communication, advertisements, science, literature, business affairs, etc. For a long time, the researches on English euphemism have been done in terms of semantics, rhetoric and pragmatics, yet few analyzes its usage in textbook. This article attempts to make some analysis of the usage of euphuism in textbook for non-English majors. Then it comes up with some suggestions to teachers concerning how to teach English euphemism in classroom, hoping that this thesis can raise the teachers’ and students’ awareness of euphemism in English learning and that the suggestions can benefit both teachers and students.
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.
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 | 0.033 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it