The property concepts and the possessive verb Ū ‘Have’ in Taiwan Southern Min
Bibliographic record
Abstract
Abstract This paper delineates an alternative analysis of the property concepts of ū ‘have’ in Taiwan Southern Min, claiming that the complements serve syntactically as the nominal gradabilities through three syntactic (constituency) tests, and supported by a crosslinguistic perspective. Additionally, in the vein of Distributed Morphology, the gradability functions as an n P (also as a nominalization), in contrast with NP/DP. From a typological perspective, it is not peculiar for ū to select a nominalization of property concept to signal a reading of property-denoting. Moreover, I illustrate the semantics of a possessive property concept construction in Taiwan Southern Min, according to Francez and Koontz-Garboden ( 2015 , 2017 ). I further propose a modal aspectual semantics to interpret the various temporal readings of ū . Finally, I draw a conclusion to my alternative analyses.
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How this classification was reachedexpand
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 | 0.004 |
| 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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".