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Record W4416432270 · doi:10.1016/j.cogdev.2025.101642

How young children come to recommend resource choices that reduce waste

2025· article· en· W4416432270 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueCognitive Development · 2025
Typearticle
Languageen
FieldPsychology
TopicChild and Animal Learning Development
Canadian institutionsUniversity of Waterloo
FundersSocial Sciences and Humanities Research Council of CanadaNatural Sciences and Engineering Research Council of Canada
KeywordsHeuristicsPreferenceResource (disambiguation)HeuristicValue (mathematics)Simple (philosophy)

Abstract

fetched live from OpenAlex

Whereas adults are often motivated to minimize material waste, young children are notoriously wasteful of material resources. Wastefulness in children could arise because they do not see the value in minimizing material waste. We explored this possibility in four experiments on children aged 3–7 (total N = 514). Children saw vignettes where an agent chose between two resources: a smaller resource that resulted in minimal waste or a larger one that resulted in greater waste. Around 5.5 years, children indicated that others should select the smaller resource (paper and foods) when this would reduce waste, showing that they think others should minimize material waste. For example, when a person could create a paper snowflake using either a larger or smaller sheet of paper, children aged 5.5 and older recommended using the smaller sheet (reducing the amount of paper wasted as scraps). The experiments also found that this preference does not arise from a simple heuristic to choose smaller resources. Overall, our findings suggest that development in children’s responses resulted from change in their understanding of waste. However, we discuss other potential explanations for the findings, and avenues for future research. • We investigated 3–7-year-olds’ understanding of material waste. • Children judged how agents should complete goals that would produce some waste. • From age 5.5, children recommended methods of completing goals which minimized waste. • We discuss whether older children's success could reflect heuristics rather than true reasoning about waste.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.486
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
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.027
GPT teacher head0.302
Teacher spread0.274 · 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