Future interpretation in Gitksan and reduced clausal complements
Bibliographic record
Abstract
This paper explores temporal interpretations in clausal complements in Gitksan,<br> a language without temporal morphology. Bare predicates in Gitksan can receive<br> present or past reading. Jóhannsdóttir & Matthewson (2007) capture these readings<br> with a covert non-future tense. For future reading, bare predicates must combine<br> with a marker dim; in syntax, dim combines with the non-future tense. In this paper,<br> I focus on the connection between the syntactic make-up of Gitksan complements<br> and the availability of future-oriented reading. Assuming the non-future tense in<br> Gitksan, I show that the attested readings can only be captured if some of the<br> complements project TPs, while the others do not. I propose that the observed patterns<br> follow straightforwardly from Wurmbrand’s (2001 et seq.) idea that clausal<br> complements are of different sizes: some complements are CPs, but some can project<br> as little as vPs. Gitksan provides support for this approach through the<br> syntax-semantics interaction in the embedded temporal-modal domain.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".