Bibliographic record
Abstract
"A Grammar of Nakoda (Assiniboine) is the first complete grammar of the Native American language Assiniboine, also known by the endonym Nakoda, a member of the Siouan language family. It addresses all major grammatical categories, including phonology, nouns, verbs, adverbs, enclitics, determiners, syntax, and kinship terminology. It also includes groundbreaking analysis of motion verbs of coming and going, demonstrating that such verbs compose a closed system that is consistent in varying degrees across all Siouan languages. Over the past century and a half, the classification of the Assiniboine language has suffered due to a complicated history regarding the Dakotan branch of the Siouan language family. Once spoken over a vast contiguous area of the northern plains, Assiniboine/Nakoda is used today among the Assiniboine people in and around Fort Belknap and Fort Peck in Montana and in five reserves in Saskatchewan. A Grammar of Nakoda (Assiniboine) establishes the singular basis of the language while also relating its unique features to other Great Plains American Indian languages."
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".