Give and take: Ownership affects how 2- and 3-year-olds allocate resources
Bibliographic record
Abstract
In three experiments, we investigated whether 2- and 3-year-olds (N = 240) consider ownership when taking resources for themselves and allocating resources to another agent. When selecting resources for themselves, children generally avoided taking resources that belonged to another agent and instead favored their own resources (Experiments 1 and 2). However, they did not avoid taking the agent’s resources when the only other resources available were described as not belonging to the agent (Experiment 3). Children also selected fewer of the agent’s resources when taking for themselves than when giving to the agent (Experiments 2 and 3). In giving to the agent, children were more likely to select the agent’s resources than resources not belonging to the agent (Experiment 3). These findings show that ownership affects how 2- and 3-year-olds allocate resources. The findings also provide new evidence that 2-year-olds may respect others’ ownership rights, at least to a limited degree, although we also consider an alternative explanation for the findings.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".