Bibliographic record
Abstract
Here is the long-awaited grammar of the Musqueam dialect of Halkomelem, which Wayne Suttles began work on in the late 1950s. The Musqueam people are the First Nation whose aboriginal territory includes much of the Fraser Delta and the city of Vancouver. Halkomelem, one of the twenty-three languages that belong to the Salish Family, is spoken in three distinct forms: Upriver, by the Stó:lo‘ of the Fraser Valley; Downriver, of which Musqueam is the only surviving representative; and Island, spoken by the Nanaimo and Cowichan of Vancouver Island. Suttles, an anthropologist, worked with knowledgeable older people, eliciting traditional stories, personal narratives, and ethnographic accounts. The grammar covers the usual topics of phonology, morphology, and syntax, illustrated by numerous sentences selected for their cultural relevance, providing insight into traditional practices, social relations, and sense of humour. There are also chapters on kinship and on space and time as well as five texts and appendices giving an index of grammatical elements, names of places and peoples, and the history of work on Halkomelem. It is written using the terms of traditional grammar as much as possible, without following a particular theoretical perspective. Musqueam Reference Grammar is perhaps the fullest account of any Salish language. It will be welcomed by linguists, anthropologists, and the Musqueam people.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.026 | 0.004 |
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".