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Record W2087827852 · doi:10.1111/cogs.12154

Parallels in Preschoolers' and Adults' Judgments About Ownership Rights and Bodily Rights

2014· article· en· W2087827852 on OpenAlexaff
Julia W. Van de Vondervoort, Ori Friedman

Bibliographic record

VenueCognitive Science · 2014
Typearticle
Languageen
FieldNeuroscience
TopicPsychology of Moral and Emotional Judgment
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsParallelsPsychologyAction (physics)Property rightsSocial psychologyProperty (philosophy)GRASPLawPolitical scienceEconomics

Abstract

fetched live from OpenAlex

Understanding ownership rights is necessary for socially appropriate behavior. We provide evidence that preschoolers' and adults' judgments of ownership rights are related to their judgments of bodily rights. Four-year-olds (n = 70) and adults (n = 89) evaluated the acceptability of harmless actions targeting owned property and body parts. At both ages, evaluations did not vary for owned property or body parts. Instead, evaluations were influenced by two other manipulations-whether the target belonged to the agent or another person, and whether that other person approved of the action. Moreover, these manipulations influenced judgments for owned objects and body parts in the same way: When the other person approved of the action, participants' judgments were positive regardless of who the target belonged to. In contrast, when that person disapproved, judgments depended on who the target belonged to. These findings show that young children grasp the importance of approval or consent for ownership rights and bodily rights, and likewise suggest that people's notions of ownership rights are related to their appreciation of bodily rights.

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)0.002
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.047
GPT teacher head0.281
Teacher spread0.235 · 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 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

Citations32
Published2014
Admission routes1
Has abstractyes

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