On the complementary distribution of plurals and classifiers in East Asian classifier languages
Why this work is in the frame
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Bibliographic record
Abstract
Abstract It is widely recognized that plural morphemes and classifiers are in complementary distribution, being unable to co‐occur. Recent literature suggests a syntactic account for complementary distribution: A plural morpheme and a classifier realize the same functional head, and thus, they cannot co‐occur. The goal of this article is to examine whether this syntactic approach to the alleged complementary distribution is applicable to certain classifier languages. We review analyses for each of 3 classifier languages, Chinese, Japanese, and Korean, where a plural and a classifier co‐occur. The reviewed analyses suggest that plural markers in these classifier languages do not realize the same head with classifiers (e.g., a plural instantiates Num/D in Chinese differently from a classifier), which accounts for its co‐occurrence with a classifier. This paper also discusses other approaches to the complementary distribution of plural morphemes and classifiers, for example, a typological view and a semantic view, and concludes that they may not account for the data in the languages under discussion.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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