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Record W2166218087 · doi:10.1017/s030500090600746x

When <i>answer-phone</i> makes a difference in children's acquisition of English compounds

2006· article· en· W2166218087 on OpenAlexaffabout
Victoria A. Murphy, Elena Nicoladis

Bibliographic record

VenueJournal of Child Language · 2006
Typearticle
Languageen
FieldPsychology
TopicReading and Literacy Development
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsLinguisticsObject (grammar)VerbPsychologyPhoneBritish EnglishLexical itemLexiconPhilosophy

Abstract

fetched live from OpenAlex

Over the course of acquiring deverbal compounds like truck driver, English-speaking children pass through a stage when they produce ungrammatical compounds like drive-truck. These errors have been attributed to canonical phrasal ordering (Clark, Hecht & Mulford, 1986). In this study, we compared British and Canadian children's compound production. Both dialects have the same phrasal ordering but some different lexical items (e.g. answer-phone exists only in British English). If influenced by these lexical differences, British children would produce more ungrammatical Verb-Object (VO) compounds in trying to produce the more complex deverbal (Object-Verb-er) than the Canadian children. 36 British children between the ages of 3;6 and 5;6 and 36 age-matched Canadian children were asked to produce novel compounds (like sun juggler). The British children produced more ungrammatical compounds and fewer grammatical compounds than the Canadian children. We argue that children's errors in deverbal compounds may be due in part to competing lexical structures.

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 score0.145
Threshold uncertainty score0.446

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 head0.004
GPT teacher head0.239
Teacher spread0.234 · 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

Citations11
Published2006
Admission routes2
Has abstractyes

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