MétaCan
Menu
Back to cohort
Record W4412490360 · doi:10.1017/s0305000925100068

Does hearing “and” help children understand “or”? Insights into scales and relevance from the acquisition of disjunction in child Romanian

2025· article· en· W4412490360 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

VenueJournal of Child Language · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicSyntax, Semantics, Linguistic Variation
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSalientRomanianRelevance (law)ImplicaturePsychologyLinguisticsContrast (vision)DeterminativeCognitive psychologyComputer sciencePragmaticsArtificial intelligencePhilosophy

Abstract

fetched live from OpenAlex

Abstract Children are known to derive more implicatures when the required alternative is made salient through contrast or when it is made contextually relevant through a story or a Question Under Discussion. We investigated the exclusivity implicature of three disjunctions ( sau “or”, sau… sau , and fie…fie “either…or”) in child Romanian, an understudied language in the previous literature. Three experiments reveal that the mere presence of the stronger alternative, that is, simply hearing unrelated conjunctive statements in the course of the experiment, is not enough to boost implicatures. Rather, implicatures increase as a result of both access to alternatives and contextual relevance (expressed through conjunctive questions such as Did the hen push the train and the boat? ). Interestingly, the boost in implicatures was observed only for sau -based disjunctions, not for fie…fie , which we conjecture may be due to children treating the latter as ambiguous between disjunction and conjunction.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.743
Threshold uncertainty score0.920

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 studies0.0000.000
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 head0.008
GPT teacher head0.222
Teacher spread0.215 · 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