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Record W1842885898

Grammatical Relations, Transitivity and Ergativity: An Interactive View of Cleftability

2013· article· en· W1842885898 on OpenAlexaff
Cheng Luo

Bibliographic record

VenueThe Journal of Macrodynamic Analysis (Memorial University of Newfoundland) · 2013
Typearticle
Languageen
FieldArts and Humanities
TopicSyntax, Semantics, Linguistic Variation
Canadian institutionsBrock University
Fundersnot available
KeywordsTransitive relationErgative caseLinguisticsHierarchySubject (documents)MathematicsObject (grammar)CombinatoricsComputer sciencePhilosophyPolitical science
DOInot available

Abstract

fetched live from OpenAlex

Keenan and Comrie's Accessibility Hierarchy (AH) applied to c1efting predicts greater c1eftability of subject (s U) than direct object (D 0).However, in some Eastern Austronesian languages, particularly Tongan, some transitive SUs are less c1eftable than other transitive SUs or DOs, and some DOs are less c1eftable than other DOs.This split pattern relates to both transitivity and ergativity.On the one hand, reduced c1eftability cooccurs with middle verbs which have weaker transitivity.On the other hand, the lesser c1eftability of 3SG transitive SU exhibits a split ergative pattern, whose apparent conflict with the AH may be resolved by reinterpreting the absolutive NP as SU and the ergative N P as DO.In any case, an adequate description of c1eftability needs to address interaction between the AH and other parts of the grammar.CHENGLUO

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.462
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.012
GPT teacher head0.217
Teacher spread0.205 · 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 designQualitative
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
Published2013
Admission routes1
Has abstractyes

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