Bibliographic record
Abstract
The Siouan family consists of a number of languages - each with several dialects - spoken by at least 25 Indigenous Nations of North America in a broad area that stretches from the Southeastern cultural region (in present day Louisiana and Alabama) westward across the prairies and northward to the plains of Alberta, Canada. Historically the languages were also spoken in present-day Virginia and North Carolina territories. Even though there exists substantial linguistic literature on Siouan languages, this family is generally under-represented in cross-linguistic studies. Within linguistics Siouan languages are known for their rich morphological structures, some tending towards polysynthesis in complex verb phrase words, while at the same time possessing complex phrase level syntactic structures. Given the time depth and the variety of studies within the Siouan family, the goals of this chapter are threefold. Specifically, I intend to (a) provide an overall typological overview of the family, (b) summarize some of the well-known grammatical features of these languages - i. e., those constructions that are considered typically “Siouan” and which are relatively well described in the available literature, and (c) point out some areas in Siouan linguistics which are not well studied, suggesting fruitful directions for future research. In the modern ethnolinguistic landscape of North America, the Siouan family as a whole includes many endangered languages in need of urgent re-awakening. Therefore, wherever possible this chapter also provides information on the status of the extant languages, highlightin
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.025 | 0.005 |
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".