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Eskimo-Aleut

2016· reference-entry· en· W4245446776 on OpenAlexaboutno aff
Anna Berge

Bibliographic record

VenueOxford Research Encyclopedia of Linguistics · 2016
Typereference-entry
Languageen
FieldComputer Science
TopicNatural Language Processing Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsErgative caseLinguisticsAustronesian languagesLanguage familyHistoryNorth Germanic languagesPidginConsonantGermanic languagesLanguages of AfricaVariety (cybernetics)GrammarLanguage contactVowelGeographyComputer scienceMathematicsGermanCreole language

Abstract

fetched live from OpenAlex

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.020
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Open science, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.750
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.020
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0050.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.048
GPT teacher head0.369
Teacher spread0.321 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations31
Published2016
Admission routes1
Has abstractyes

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