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Record W2970558664 · doi:10.1558/rcsi.37286

Positioning updates as relevant

2019· article· en· W2970558664 on OpenAlexaboutno aff
Darcey Searles

Bibliographic record

VenueResearch on Children and Social Interaction · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicLanguage, Discourse, Communication Strategies
Canadian institutionsnot available
Fundersnot available
KeywordsSophisticationExploitObject (grammar)PhraseComputer scienceComponent (thermodynamics)PsychologyComputer securityArtificial intelligenceSociology

Abstract

fetched live from OpenAlex

Telling about your day is a documented component of close relationships. In examining nearly 31 hours of video-recorded English-speaking American and Canadian families with young children primarily between the ages of three and six, this paper analyses how children solve the problem of producing relevant updates about the goings on of their day. Findings indicate that child-initiated updates are ‘touched off ’ by prior talk or something in the immediate environment. I find that child-initiated updates occur in three sequential environments: (1) when they are prompted by a specific word/ phrase, (2) when they are prompted by an object in the locally immediate environment, and (3) when they are prompted by the local ongoing activity. Importantly, these updates are retrospectively activated in that they are responsive to what just occurred before, but also initiate a new sequence. The updating practices described here provide further evidence of the interactional sophistication of young children in that they show how children can exploit the ongoing environment to deliver updates about their own lives.

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)0.001
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.014
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0040.004
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.090
GPT teacher head0.423
Teacher spread0.333 · 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 designNot applicable
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
Published2019
Admission routes1
Has abstractyes

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