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Record W2080035105 · doi:10.5539/ach.v2n2p111

Young Children’s Folk Knowledge of Robots

2010· article· en· W2080035105 on OpenAlex
Nobuko Katayama, Jun’ichi Katayama, Michiteru Kitazaki, Shoji Itakura

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueAsian Culture and History · 2010
Typearticle
Languageen
FieldPsychology
TopicChild and Animal Learning Development
Canadian institutionsnot available
FundersNissan Global Foundation
KeywordsRobotTask (project management)Humanoid robotPsychologyEveryday lifeDevelopmental psychologyCognitive psychologySocial psychologyArtificial intelligenceComputer scienceEngineeringEpistemology

Abstract

fetched live from OpenAlex

Children, in their everyday lives, encounter several types of humanoid robots. The purpose of this study was to investigate children’s folk knowledge of robots using the card-choice task. In the task, both adults and five- and six-year-old children were given nine questions concerning the biological and psychological properties of robots. They were asked to choose the appropriate stimuli from among five objects including living things, nonliving things, and a robot. The results revealed that the children tended to attribute certain biological properties to the robot. These results accorded with previous results. However, in our study, contrary to previous such studies, even older children showed such a tendency. Moreover, the children were unable to choose all the cards in the same way as the adults. Thus, it can be concluded that children’s knowledge of robots is incomplete. And the children’s knowledge is changed by method.

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.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.797
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
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.008
GPT teacher head0.241
Teacher spread0.233 · 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