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Record W4220722354 · doi:10.1037/dev0001325

Young children infer psychological ownership from stewardship.

2022· article· en· W4220722354 on OpenAlexafffundabout
Angelina Cleroux, Joann Peck, Ori Friedman

Bibliographic record

VenueDevelopmental Psychology · 2022
Typearticle
Languageen
FieldMedicine
TopicReproductive Health and Technologies
Canadian institutionsUniversity of Waterloo
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsStewardship (theology)PsycINFOPsychologyFeelingSocial psychologyDevelopmental psychologyPolitical scienceMEDLINE

Abstract

fetched live from OpenAlex

Although people take care of their own possessions, they also engage in stewardship and take care of things they do not own. Here, we examined what young children infer when they observe stewardship behavior of an object. Through four experiments on predominantly middle-class Canadian children (total N = 350, 168 girls and 182 boys from a predominantly White and middle-class region), we found that children as young as 4 or 5 infer feelings of ownership from stewardship behaviors and distinguish between psychological and legal ownership. They also understand that psychological and legal ownership are independent as one can exist without the other, and children as young as 3 may link stewardship with welfare concerns. We also suggest that while stewardship has been shown to be a consequence of psychological ownership, it is also likely to be an antecedent. As future stewards of our resources, young children's understanding of the link between psychological ownership and stewardship links directly to sustainability concerns. We contribute theoretically both to the child development and psychological ownership literatures. (PsycInfo Database Record (c) 2022 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 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 score0.039
Threshold uncertainty score0.999

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.057
GPT teacher head0.361
Teacher spread0.304 · 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

Citations12
Published2022
Admission routes3
Has abstractyes

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