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Record W4401613713 · doi:10.1037/dev0001817

Children (and many adults) use perceptual similarity to assess relative impossibility.

2024· article· en· W4401613713 on OpenAlexafffund
Zoe Tipper, Terryn Kim, Ori Friedman

Bibliographic record

VenueDevelopmental Psychology · 2024
Typearticle
Languageen
FieldDecision Sciences
TopicDecision-Making and Behavioral Economics
Canadian institutionsUniversity of Waterloo
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsPsychologyPerceptionImpossibilitySpellCognitive psychologyPsycINFOSimilarity (geometry)Object (grammar)Social perceptionDevelopmental psychologySocial psychologyArtificial intelligenceComputer scienceMEDLINE

Abstract

fetched live from OpenAlex

People see some impossible events as more impossible than others. For example, walking through a solid wall seems more impossible if it is made of stone rather than wood. Across four experiments, we investigated how children and adults assess the relative impossibility of events, contrasting two kinds of information they may use: perceptual information and causal knowledge. In each experiment, participants were told about a wizard who could magically transform target objects into other things. Participants then assessed which of the two transformation spells would be easier or harder, a spell transforming a target object into a perceptual match (i.e., a similar-looking thing) or one transforming it into a causal match (e.g., an item made of similar materials). In Experiments 1-3, children aged 4-7 mainly thought that transformations into the perceptual match would be easier, though this tendency varied with age. Adults were overall split when choosing which spell would be easier. In Experiment 1, this was because of variations in their judgments across different pairs of spells; in Experiments 2 and 4, the split resulted because different subsets of adults preferred either the perceptual or causal match. Overall, these findings show that children, and many adults, use perceptual reasoning to assess relative impossibility. (PsycInfo Database Record (c) 2024 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)0.002
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.727
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.003

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 head0.222
GPT teacher head0.463
Teacher spread0.241 · 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
Published2024
Admission routes2
Has abstractyes

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