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Record W2820330329 · doi:10.1162/ling_a_00290

ɸ-Features at the Syntax-Semantics Interface: Evidence from Nominal Inflection

2018· article· en· W2820330329 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueLinguistic Inquiry · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicSyntax, Semantics, Linguistic Variation
Canadian institutionsMcMaster University
Fundersnot available
KeywordsSyntaxComputer scienceFeature (linguistics)LinguisticsInflectionPrinciple of compositionalityNatural language processingSemantics (computer science)Representation (politics)Abstract syntaxRealization (probability)Artificial intelligenceMathematicsProgramming languagePhilosophy

Abstract

fetched live from OpenAlex

I argue for a novel model of feature valuation in the CI interface and explore under what circumstances a syntactic feature is semantically interpretable. As the groundwork for the investigation, I propose an explicit Distributed Morphology model of Italian nouns of profession. The data provide evidence that the morphology accesses the narrow-syntax representation at two different temporal points within a phase: the earlier point (Spell-Out) returns a morphological realization faithful to feature values present in narrow syntax, while the later point (Transfer) allows for a narrow-syntax representation to be enriched by the CI component. Thus, there is no syntactic distinction between interpretable and uninterpretable features: a syntactic feature appears to be interpretable only if it has been licensed by the CI interface.

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.

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)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.684
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.062
GPT teacher head0.308
Teacher spread0.246 · 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