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Record W4378838375 · doi:10.1080/15248372.2023.2216297

Children’s Emerging Understanding of Anonymity Does Not Predict Reputation Enhancing Generosity

2023· article· en· W4378838375 on OpenAlexafffundabout
Jennifer Richards, Stephanie Hartlin, Chris Moore, John Corbit

Bibliographic record

VenueJournal of Cognition and Development · 2023
Typearticle
Languageen
FieldNeuroscience
TopicPsychology of Moral and Emotional Judgment
Canadian institutionsDalhousie University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsGenerosityAnonymityReputationPsychologySocial psychologyDevelopmental psychologyComputer sciencePolitical science

Abstract

fetched live from OpenAlex

Young children tend to behave more generously when their actions are identified than when they are anonymous, yet we know little about the cognitive foundations required for anonymity to impact generosity. In three studies we examined Canadian children’s understanding of anonymity and its impact on sharing in anonymous and identified contexts. Study 1 assessed whether 3- and 5-year-old children (N = 100, 51 female) understood anonymous and identified sharing, and whether age-related changes in their understanding corresponded to sharing behavior. We found that understanding of anonymity improved with age, but anonymity did not influence sharing. Study 2 assessed 5-year-old children’s (N = 60, 30 female) judgments about how others would share in these contexts and their preferences for receiving donations from identified or anonymous donors. We found that children preferred to receive from identified donors and believed that identified donors were more generous. Study 3 assessed whether 5-year-old children (N = 60, 30 female) preferred to share as anonymous or identified donors themselves, and whether their choice influenced sharing behavior. We found that while participants preferred to share as identified donors, this choice did not influence sharing. Overall, our findings suggest that although 5-year-old Canadian children have a robust understanding of the implications of anonymous and identified sharing, this understanding is not sufficient to motivate increased generosity.

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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.204
Threshold uncertainty score0.211

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.126
GPT teacher head0.292
Teacher spread0.166 · 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 designBench or experimental
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

Citations0
Published2023
Admission routes3
Has abstractyes

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