Bibliographic record
Abstract
The St'át'imcets (Lillooet Salish) subjunctive mood appears in nine distinct environments, with a range of semantic effects, including weakening an imperative to a polite request, turning a question into an uncertainty statement, and creating an ignorance free relative. The St'át'imcets subjunctive also differs from Indo-European subjunctives in that it is not selected by attitude verbs. In this paper I account for the St'át'imcets subjunctive using Portner's (1997) proposal that moods restrict the conversational background of a governing modal. I argue that the St'át'imcets subjunctive restricts the conversational background of a governing modal, but in a way which obligatorily weakens the modal’s force. This obligatory modal weakening -- not found with Indo-European non-indicative moods -- correlates with the fact that St'át'imcets modals differ from Indo-European modals along the same dimension. While Indo-European modals typically lexically encode quantificational force, but leave conversational background to context, St'át'imcets modals encode conversational background, but leave quantificational force to context (Matthewson, Rullmann & Davis 2007, Rullmann, Matthewson & Davis 2008). doi:10.3765/sp.3.9 BibTeX info
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| 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 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".