Bibliographic record
Abstract
Abstract The Salish language family is of special interest for syntactic and semantic theory because it has been argued to differ radically from Indo‐European languages in both structure and interpretation (see, e.g., ; ; ; ; ; ). In this article, we survey four theoretical debates in the syntactic and semantic literature on Salish, one from each of the areas of lexical semantics, super‐lexical syntax, semantics and pragmatics, with an eye to pinning down the principal loci of variation between Salish and Indo‐European. In the domain of lexical semantics, we argue for the hypothesis that all Salish verb roots are intransitive and unaccusative. In the area of syntax, we outline the predictions of the Pronominal Argument Hypothesis, and provide counterarguments which show that at least some and probably all Salish languages have a fully configurational syntax. Turning to tense, we argue that Salish languages are tensed, despite superficial evidence to the contrary. Finally, we present arguments that at least one Salish language differs radically from English in its pragmatics: it lacks any familiarity presuppositions. Our conclusion is that major parametric differences between Salish and Indo‐European languages are not to be found in the syntax or sentence‐level semantics, but in the pragmatics, and possibly the lexical semantics.
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 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 | 0.001 |
| Science and technology studies | 0.001 | 0.011 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 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".