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Record W4226171704 · doi:10.1525/collabra.33133

Syntactic Representations Contain Semantic Information: Evidence From Balinese Passives

2022· article· en· W4226171704 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

VenueCollabra Psychology · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicLanguage, Discourse, Communication Strategies
Canadian institutionsInstitute of Population and Public Health
FundersEconomic and Social Research CouncilUniversity of LiverpoolLembaga Pengelola Dana PendidikanEuropean Commission
KeywordsSyntaxLinguisticsComputer scienceSemantics (computer science)Meaning (existential)Natural language processingRepresentation (politics)Artificial intelligencePsychologyProgramming languagePhilosophy

Abstract

fetched live from OpenAlex

Semantics-based approaches to syntax hold that the basic units of language are constructions: form-meaning pairings that have meanings in and of themselves. The aim of the present study was to test this claim using a previously-unstudied construction: Balinese passives. Using a grammatical acceptability judgment methodology with 60 native adult speakers, we found that independent ratings of 49 verbs’ semantic affectedness (obtained from a separate group of 20 native adult speakers) significantly predict the relative acceptability of these verbs in three types of passives (-a, ka- and ma- passives), and also actives, but not in what we term the “basic passive”; a construction which lacks the morphological markers that characterize the other passive types. These findings constitute support for semantics-based approaches to syntax, but are more difficult to reconcile with approaches that posit a pure-syntax level of representation that includes syntactic category information but not semantic information or lexical content.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.507
Threshold uncertainty score0.980

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0210.000

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 head0.074
GPT teacher head0.362
Teacher spread0.287 · 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