Bibliographic record
Abstract
Abstract The Eskimo-Aleut language family consists of two quite different branches, Aleut and Eskimo. The latter consists of Yupik and Inuit languages. It is spoken from the eastern coast of Russia to Greenland. The family is thought to have developed and diverged in Alaska between 4,000 and 6,000 years ago, although recent findings in a variety of fields suggest a more complex prehistory than previously assumed. The language family shares certain characteristics, including polysynthetic word formation, an originally ergative-absolutive case system (now substantially modified in Aleut), SOV word order, and more or less similar phonological systems across the language family, involving voiceless stop and voiced fricative consonant series often in alternation, and an originally four-vowel system frequently reduced to three. The languages in the family have undergone substantial postcolonial contact effects, especially evident in (although not restricted to) loanwords from the respective colonial languages. There is extensive language documentation for all languages, although not necessarily all dialects. Most languages and dialects are severely endangered today, with the exception of Eastern Canadian Inuit and Greenlandic (Kalaallisut). There are also theoretical studies of the languages in many linguistic fields, although the languages are unevenly covered, and there are still many more studies of the phonologies and syntaxes of the respective languages than other aspects of grammar.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.020 | 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".