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Record W4412902897 · doi:10.1037/dev0002041

Children can map precise number words to approximate arithmetic prior to formal instruction.

2025· article· en· W4412902897 on OpenAlexafffund
Denitza Dramkin, Darko Odic

Bibliographic record

VenueDevelopmental Psychology · 2025
Typearticle
Languageen
FieldMathematics
TopicCognitive and developmental aspects of mathematical skills
Canadian institutionsUniversity of British Columbia
FundersFaculty of Graduate Studies, Dalhousie UniversityNatural Sciences and Engineering Research Council of Canada
KeywordsPsychologyArithmeticCognitive psychologyDevelopmental psychologyMathematics

Abstract

fetched live from OpenAlex

as the correct answer. Here, we show that once children have mapped number words to their intuitive number sense, they can perform approximate arithmetic estimation: that is, they can attach precise number words to approximate division operations. Forty-five 5- to 8-year-olds completed an approximate division task in which they were given a unit of one, three, or five objects and had to then estimate between five and 110 briefly presented dots. Children provided highly accurate estimates and flexibly switched their responses according to the divisor provided. We further show that they did so without relying on various possible "cheats" and discuss three possible mechanisms for this competency. These findings highlight how the interface between number words and intuitive numerical capacities can support rich mathematical reasoning, including helping children arrive at a single approximate answer despite the inherent uncertainty of the underlying representations. (PsycInfo Database Record (c) 2025 APA, all rights reserved).

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.648
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.002

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 head0.020
GPT teacher head0.334
Teacher spread0.314 · 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.

Study designOther design
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
Published2025
Admission routes2
Has abstractyes

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