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Record W1997151242 · doi:10.1044/2015_jslhr-l-14-0222

When Do Children Understand “Opposite”?

2015· article· en· W1997151242 on OpenAlexaff
Catherine I. Phillips, Penny M. Pexman

Bibliographic record

VenueJournal of Speech Language and Hearing Research · 2015
Typearticle
Languageen
FieldPsychology
TopicChild and Animal Learning Development
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsPsychologyDevelopmental psychologyCognitionCognitive psychologyCognitive developmentSalientLanguage developmentGazeWorking memoryTask (project management)

Abstract

fetched live from OpenAlex

PURPOSE: The aims of the present research were to determine (a) the age at which children with typical development understand the concept of opposite, (b) whether this is related to other cognitive abilities or experiences, and (c) whether there is early implicit understanding of the concept. METHOD: Children (N = 204) between 3 and 5 years of age were randomly assigned to 1 of 3 experimental conditions in a novel opposite task. Children's language and working memory skills were assessed, and parents provided information about children's access to learning materials about opposites. RESULTS: In the opposite task, 4- and 5-year-olds, but not 3-year-olds, demonstrated acquisition of the concept of opposite. Children demonstrated this understanding only when asked for the "opposite" one, suggesting that antonymy was not made salient by stimulus properties alone. Children's accuracy was not significantly related to their language or working memory skills, to their child care experience, or to whether parents reported having books or games about opposites or playing opposite word games with children. Eye gaze analyses provided no evidence for early implicit understanding of the concept of opposite. CONCLUSION: Children with typical development have a concept of opposite by 4 years of age.

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)0.003
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 score0.415
Threshold uncertainty score0.490

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
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 integrity0.0000.001
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 head0.128
GPT teacher head0.416
Teacher spread0.288 · 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

Citations12
Published2015
Admission routes1
Has abstractyes

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