Bibliographic record
Abstract
In this article, I provide a description and analysis of the morphemes čiɫ 'do to', ḥta 'do towards' and cḥin 'do for' in the Southern Wakashan language Nuuchahnulth (nuučaan̓uɫ). I argue that these morphemes are verbal applicatives that add a non-core argument to the thematic structure of a verb. Verbal applicatives in Nuuchahnulth are interesting to investigate because they exhibit typologically unique behaviour that has never been studied before. Applicatives are traditionally considered functional elements whose only purpose is to add an indirect object to the argument structure of the verb (Pylkkanen 2002:17). Nuuchahnulth is the only known language that productively uses independent verbs for this purpose. Nuuchahnulth is an indigenous language of Canada spoken in the province of British Columbia. It consists of 14 major dialects, most of which have never been studied. All of these dialects are now highly endangered and urgently need to be documented.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| 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".