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Record W3156915471 · doi:10.2478/plc-2021-0002

Who is kissing whom? Two-year-olds’ comprehension of pronouns, case and word order

2021· article· en· W3156915471 on OpenAlexaff
Cassandra Foursha-Stevenson, Katy-Ann E. Blacker, Jennifer Austin, Gretchen A. Van de Walle

Bibliographic record

VenuePsychology of Language and Communication · 2021
Typearticle
Languageen
FieldPsychology
TopicLanguage Development and Disorders
Canadian institutionsMount Royal University
Fundersnot available
KeywordsTransitive relationNominative caseLinguisticsWord orderPersonal pronounSubject (documents)VerbPsychologyObject (grammar)Subject pronounNounObject pronounComprehensionDative caseNoun phraseComputer scienceMathematicsCombinatoricsPhilosophy

Abstract

fetched live from OpenAlex

Abstract Two-year olds’ comprehension of pronouns in transitive sentences was examined. Previously, children at this age have been shown to comprehend transitive sentences containing full nouns and pronouns in subject position (Gertner et. al. 2006; Hirsh-Pasek & Golinkoff 1996;), but little is known about when children begin to comprehend the nominative and accusative case in pronouns. Using a preferential looking task, we found that 27-month-old children were able to comprehend transitive, grammatical sentences that had subject-verb-object (SVO) word order and nominative pronouns in subject position or accusative pronouns in object position, but 19-month-old children did not demonstrate this comprehension. Furthermore, neither group showed a consistent interpretation for ungrammatical sentences containing pronouns, in contrast to adult participants. Our results suggest that the ability to use pronouns as an aid to understanding transitive sentences develops by 27 months, before children are capable of producing these pronouns in their own speech.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0020.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.023
GPT teacher head0.353
Teacher spread0.330 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2021
Admission routes1
Has abstractyes

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