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Record W2999078687 · doi:10.1037/emo0000722

Young children infer feelings of ownership from habitual use.

2020· article· en· W2999078687 on OpenAlexafffund
Angelina Cleroux, Ori Friedman

Bibliographic record

VenueEmotion · 2020
Typearticle
Languageen
FieldNeuroscience
TopicPsychology of Moral and Emotional Judgment
Canadian institutionsUniversity of Waterloo
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsFeelingPsychologyDevelopmental psychologySocial psychologyCognitive psychology

Abstract

fetched live from OpenAlex

People sometimes feel as if they own items that do not actually belong to them. These feelings of ownership affect people in diverse contexts and provide a striking example of how feelings can conflict with reality. Across 6 experiments, we investigated young children's (N = 614) and adults' (N = 243) understanding of these feelings. In Experiment 1, children aged 4 to 7 inferred that an agent who habitually used a publicly owned item would have feelings of ownership for it, and children distinguished these feelings from actual ownership. Experiments 2 and 3 replicated these findings and also found that children were less likely to attribute feelings of ownership when the agent used the item nonhabitually. Experiments 4 and 5 further found that children and adults also distinguish feelings of ownership from false beliefs of ownership. Finally, in Experiment 6, even younger children showed signs of understanding feelings of ownership. Children aged 3 and 4 predicted that an agent who habitually used an item would be upset to discover someone else using it. Together, these findings suggest that young children are aware of the psychological component of ownership. The findings are also informative about their understanding of habits and repeated actions and the potential for feelings to conflict with beliefs, knowledge, and reality. (PsycInfo Database Record (c) 2021 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.654
Threshold uncertainty score0.300

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)0.0000.000

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 head0.144
GPT teacher head0.260
Teacher spread0.116 · 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.

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

Citations9
Published2020
Admission routes2
Has abstractyes

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