Bibliographic record
Abstract
This timely book is the first complete descriptive grammar of Lillooet, an indigenous Canadian language spoken in British Columbia, now threatened with extinction. The author discusses three major aspects of the language – sound system, word structure, and syntax – in great detail. The classical structuralism method of analysis, as developed in North America by Leonard Bloomfield and his followers, is used to look at every aspect of Lillooet in terms of its function and position within the whole structure of the language. Van Eijk explains terms and procedures in order to make the book accessible not only to the advanced linguist, but also to the undergraduate student with basic linguistic training. Written with great clarity, and well organized, the book is illustrated with copious examples drawn from many years of fieldwork in St’át’imc territory. A fully analysed and translated Lillooet text is included in an appendix to illustrate the grammatical patterns discussed in the main body. A second appendix has a conversion table comparing the standard Amerindian orthography used in the book with the practical orthography used in Lillooet-speaking communities. The Lillooet Language is an invaluable addition to other recent studies of neighbouring Salish languages such as Squamish, Halkomelem, Thompson, and Shuswap. It could be used both as a textbook for studies in the structure of a selected language, and as collateral reading for courses in phonology, morphology and syntax.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.024 | 0.003 |
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".