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Ergativity in Inuktitut

2017· book-chapter· en· W2969338668 on OpenAlexafffundabout
Richard Compton

Bibliographic record

VenueOxford University Press eBooks · 2017
Typebook-chapter
Languageen
FieldArts and Humanities
TopicSyntax, Semantics, Linguistic Variation
Canadian institutionsUniversité du Québec à Montréal
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsErgative caseLinguisticsObject (grammar)HistoryPhilosophyMathematics

Abstract

fetched live from OpenAlex

Abstract This chapter provides an overview of ergativity in Inuktitut, a dialect group of the Inuit language (Eskimo-Aleut), spoken in the Eastern Canadian Arctic. The various manifestations of ergativity in the language are examined, including the ergative alignment of case assignment as well as verbal agreement morphology. Evidence for absolutive case being structural, as opposed to a morphological default, is presented using evidence from ditransitives and causatives. Bittner and Hale’s (1996a,b) influential account of ergativity in West Greenlandic is discussed and several points of their analysis are shown to be problematic as applied to Inuktitut. The ergative organization of verbal agreement and its origin in possessor agreement is also examined. Finally, the use of the antipassive construction as a type of differential object marking to indicate an indefinite or non-specific object is presented and proposals linking antipassive marking and aspect are considered.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.071
Threshold uncertainty score0.142

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0060.004
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.046
GPT teacher head0.215
Teacher spread0.169 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations3
Published2017
Admission routes3
Has abstractyes

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Same venueOxford University Press eBooksSame topicSyntax, Semantics, Linguistic VariationFrench-language works237,207