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Record W3088965399 · doi:10.3765/salt.v30i0.4854

Asymmetries between uniqueness and familiarity in the semantics of definite descriptions

2021· article· en· W3088965399 on OpenAlex
Sadhwi Srinivas, Kyle Rawlins, Daphna Heller

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

VenueProceedings from Semantics and Linguistic Theory · 2021
Typearticle
Languageen
FieldPsychology
TopicLanguage, Metaphor, and Cognition
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsDefinitenessUniquenessMeaning (existential)Semantics (computer science)ComprehensionLinguisticsIdentification (biology)PsychologyMathematicsComputer scienceSocial psychologyPhilosophy

Abstract

fetched live from OpenAlex

In over a century of research into the English definite article "the", two main theoretical factors have been identified as relevant to its meaning: namely, (i) uniqueness and (ii) familiarity. The identification of these factors has led to an extensive debate in semantics about which of them is more fundamental to the meaning of "the". In this paper, we contribute to this debate by introducing novel data obtained through two controlled psycholinguistic experiments. We manipulated uniqueness and familiarity of potential referents, examining how these factors affect the comprehension and production of English definite descriptions. The behavioral results reveal an asymmetry between these two factors, with familiarity being a weaker cue than uniqueness – a pattern that is unexpected under any existing theory of definiteness. We close with a discussion of possible extensions to existing theories in light of this result, as well as avenues for future work.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.085
Threshold uncertainty score0.504

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.029
GPT teacher head0.282
Teacher spread0.253 · 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