A Contrastive Analysis of Interpersonal Function Between the Chinese and English Versions of The Sight of Father’s Back
Bibliographic record
Abstract
As a reminiscent prose, The Sight of Father’s Back was written by the modern writer, Zhu Ziqing, in 1925. A wave of warm current floods a large body of readers since this essay describes, in earnest, love of father. This research performs a contrastive analysis of interpersonal function between the Chinese and English versions of The Sight of Father’s Back in terms of mood, modality, and evaluation meanings. We find that mood and evaluation meanings display parallel distribution. Declarative and exclamatory moods occur most frequently in both the Chinese and English versions, whereas interrogative mood is at a premium. Besides, various evaluative adjectives and adverbs are used in both versions. However, modality shows remarkable discrepancies. The English version tends to adopt modal verbs with median-and-low value, while most median-and-high value modal verbs are presented in the Chinese version. In our view, the exercise of median-and-high value modal verbs reflects the thoughts more directly. While the selection of median-and-low value modal verbs might be concerned with the need for politeness. Besides, diverse choices of modal verbs are incident to various modal meanings along with research purposes.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".