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Record W2600903481

The acquisition of locational incorporation structures in Inuktitut

2016· article· en· W2600903481 on OpenAlexaff
Erica Davis

Bibliographic record

VenueLinguistica Atlantica · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicSyntax, Semantics, Linguistic Variation
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsLocative caseLinguisticsPossessiveGrammarSyntaxProduction (economics)Language acquisitionComputer scienceNounPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

Locative noun incorporation constructions in Inuktitut behave differently in the adult grammar than donon-locative instances. This study investigates whether the production of locative incorporation differsfrom other noun incorporation structures over the course of acquisition. One would expect locativeincorporation to be more difficult to acquire and therefore to emerge later, however this does not appearto be the case. Despite the added complexity of optional possessors and the added syntactic complexityof locational postpositions, locative incorporation appears to be acquired early and similarly to nounincorporation as both structures are produced by all children at the earliest ages studied. Additionally,an interesting pattern of acquisition emerged in the production of possessives. A phonologically reducedpossessor form emerges for several of the children, however the possessor is never reduced in the adultgrammar. Morphosyntactically speaking, this shows evidence of acquisition. The production of thereduced possessor shows that the concept is acquired in terms of morphology and syntax but is not yetfully acquired phonologically.

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)0.000
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.369
Threshold uncertainty score0.424

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.019
GPT teacher head0.240
Teacher spread0.221 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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

Citations0
Published2016
Admission routes1
Has abstractyes

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