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Record W2990997330 · doi:10.5539/jedp.v9n2p182

“There Must Be a Cat Nearby”: Kindergarteners’ Reasoning About Action at an Attentional Distance

2019· article· en· W2990997330 on OpenAlexvenueno aff
S. Lynneth Solis, Tina A. Grotzer, Kaley Curtis

Bibliographic record

VenueJournal of Educational and Developmental Psychology · 2019
Typearticle
Languageen
FieldPsychology
TopicChild and Animal Learning Development
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyAction (physics)Context (archaeology)Cognitive psychologySpace (punctuation)Computer science

Abstract

fetched live from OpenAlex

Action at a distance describes causal relationships in which causes and effects act at a distance. Many concepts in life and in science involve action at a distance, such as a remote control activating a television or magnets repelling each other without touching. Some forms occur within the same attentional frame, such as two magnets on a table, making it possible to observe the covariation relationships between them. Others occur at an attentional distance, obscured by space or other variables that make it difficult to perceive covariation. The term action at an attentional distance (A@AD) underscores this distinction (Grotzer & Solis, 2015). Previous research demonstrated that elementary students experience difficulties in interpreting A@AD but can reason about it through mediating mechanisms. The present study extended this work to characterize kindergarteners’ reasoning about A@AD within familiar and unfamiliar contexts. Twenty-five kindergarteners participated in two interview sessions where they were presented with hypothetical scenarios and asked to reason about the possibility of A@AD. Results revealed that in certain cases young students accepted and described A@AD, and this was informed by their familiarity with the context, availability of possible explanatory mechanisms, access to covariation information, and attention to their own interventions.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.047
Threshold uncertainty score0.985

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)0.0160.001

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 head0.034
GPT teacher head0.349
Teacher spread0.315 · 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 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
Published2019
Admission routes1
Has abstractyes

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