The origin of yes–no question particles in the Niuean language
Bibliographic record
Abstract
This paper considers data from Niuean, a Polynesian language with VSO word order and an extensive range of grammatical particles. We focus on three question particles, nakai, ka and kia , examining their possible historical origins. In related languages the preferred means of forming a yes–no question is by intonation alone, while in the Polynesian languages that have yes–no question particles, the forms are lexically distinct from those found in Niuean. We argue that the Niuean unmarked question particle nakai is derived from the negative, the pragmatically marked kia construction from the polite form of the imperative, and the ka construction from a lexical item which signals confirmation. In all three cases, the question particles do not replace their original grammatical or lexical source words but rather co-exist with them in new contexts. The three question particles have all undergone a process of semantic bleaching, increased syntactic bonding, and in some cases, phonetic reduction. While two of the processes have occurred early in Niuean, one is a very recent development.
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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 | 0.004 | 0.047 |
| 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 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".