A Functional Study of zhi 之 in the Chinese Nominal Group
Why this work is in the frame
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Bibliographic record
Abstract
Over the past decades, subjects concerned with the Chinese character “zhi之”, i.e. grammatical structure, in ancient Chinese language, have been widely explored. This paper conducts a research from a new dimension: the Cardiff Grammar, an integral part of Systemic Functional Linguistics (SFL) which is famous for its “problem-oriented theory”. In order to shed light on the semantics and syntactic functions of “zhi之” in the Chinese nominal group, this study examines five distinctive nominal groups involving “zhi之” with elaborate tree diagrams which are presented in each of the following sections. Through the contrastive study, we find that the Chinese character “zhi之” has some various functions in different situations: as genitive element (g), as modifier trigger (mtr), as selector (v), as qualifier introducer (qint) and as deictic determiner (dd).
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it