Differential grammaticalization of copulas in Tsúùt’ínà and Tłıcho Yatıì
Bibliographic record
Abstract
Abstract The languages of the Dene (aka Athapaskan) family in North America almost universally employ two copular verbs. In several languages of this family, copular forms are also employed as verbal auxiliaries: forms of one copula mark clausal focus while forms of the other mark TAM (tense/aspect/mode) categories. With reference to two Dene languages in particular, Tłı̨chǫ Yatıì and Tsúùt’ínà, I explain this difference by positing distinct grammaticalization paths and motivations for each copula: both focus and TAM markers originate in a uniclausal reanalysis of biclausal constructions, the former from constructions where the matrix clause asserts the truth of the embedded clause, and the latter from those where the matrix clause supplies extra TAM information to the embedded clause. Both grammaticalizations involve an upward reanalysis of copulas as functional heads.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.002 |
| 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".