Southern Wakashan: Descriptive and Theoretical Perspectives
Bibliographic record
Abstract
This special volume of CJL/RCL is the first collection of papers devoted specifically to the Southern Wakashan languages Makah, Ditidaht (also known as Nitinat), and Nuu-chah-nulth (also known as Nootka). These three closely related languages form a continuum stretching from the northwest tip of Washington State to northwest Vancouver Island in British Columbia. The Southern Wakashan languages are remarkable for the typologically unusual traits they exhibit in virtually all areas of their grammars. These properties were first illuminated by Edward Sapir in his foundational work on Nuu-chah-nulth (1911, 1915, 1921; Sapir and Swadesh 1939), which helped thrust Wakashan to the forefront of early Amerindian scholarship. The papers brought together in this volume reflect a recent resurgence of interest in Southern Wakashan, and highlight the potential of lesser-studied languages to contribute to linguistic theory, as well as the range of insights that theoretically informed perspectives can bring to the grammatical description of these languages.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.007 |
| Science and technology studies | 0.007 | 0.021 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".