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Record W4391373433 · doi:10.1075/ais.12.08mar

Symbolic distancing in three-year-old children’s object-use pantomime

2024· book-chapter· en· W4391373433 on OpenAlexaff
Paula Marentette, Chelsea Inaba, Rebecca Petrie

Bibliographic record

VenueAdvances in interaction studies · 2024
Typebook-chapter
Languageen
FieldPsychology
TopicHearing Impairment and Communication
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsDistancingObject (grammar)Computer sciencePsychologyArtificial intelligenceMedicineCoronavirus disease 2019 (COVID-19)

Abstract

fetched live from OpenAlex

Abstract Children’s early pantomime of how to use objects is thought to demonstrate “symbolic distancing,” ostensibly providing an opportunity to observe the development of symbolic reference between the ages of three- and six-years. This chapter argues, in contrast, that the modes of representation used by three-year-olds may be better explained by item, task, and communicative factors revealing children’s functional knowledge of objects and social knowledge of communicative conventions rather than symbolic development. Detailed analysis of the children’s manual mode of representation in conjunction with their speech challenges assumptions about which forms are viewed as more or less pantomimic. Interpretation of iconicity may be a function of human adult convention; we discuss the implications for our understanding of the role of iconic gestures depicting object-use in communicative situations.

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)0.000
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.054
GPT teacher head0.389
Teacher spread0.335 · 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

Citations2
Published2024
Admission routes1
Has abstractyes

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