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Record W2773449801 · doi:10.1017/s0305000917000423

Children's comprehension of contrastive connectives

2017· article· en· W2773449801 on OpenAlexaff
Jennifer Spenader

Bibliographic record

VenueJournal of Child Language · 2017
Typearticle
Languageen
FieldPsychology
TopicLanguage Development and Disorders
Canadian institutionsArtificial Intelligence in Medicine (Canada)
FundersNederlandse Organisatie voor Wetenschappelijk Onderzoek
KeywordsComprehensionPronounTask (project management)PsychologyContext (archaeology)LinguisticsInterpretation (philosophy)SyntaxCognitive psychology

Abstract

fetched live from OpenAlex

Production studies show connective acquisition by age 3;0, but comprehension studies show errors until 9;0 or older. To further investigate this gap, two comprehension tasks were carried out with 78 Dutch children between the ages of 7;0 and 10;1, testing contrastive maar 'but' and causal want 'because' connectives for comparison. An existing context choice task and a task that tested children's ability to interpret pronouns dependent on the connective were used. Children did well on the context choice task for want 'because', but performed far below chance with maar 'but'. In the pronoun interpretation task the youngest children performed at or near chance with both connectives, but show gradual improvement with age. Task complexity may partially explain the results but in general, they are consistent with previous experiments showing contrastive connective comprehension is acquired very late compared to their correct production. Further, the pronoun interpretation task may give a more accurate picture of understanding.

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 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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.349
Threshold uncertainty score0.850

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)0.0010.000

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 head0.302
Teacher spread0.294 · 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 teacher head, 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

Citations6
Published2017
Admission routes1
Has abstractyes

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