Mine, yours, no one’s: Children’s understanding of how ownership affects object use.
Bibliographic record
Abstract
Two experiments examined children's understanding of how ownership affects object use. In Experiment 1, 84 children age 4-6 were asked what a person was allowed to do with a human-made object that either belonged to the person or belonged to someone else. In Experiment 2, 44 children age 4-5 were asked what a person was allowed to do with a natural object that belonged to the person, belonged to someone else, or belonged to no one. Children were permitted to provide as many responses as they wished. Children's responses reflected an appreciation that ownership affects a wide range of object uses, including harmless object use. Children's responses also reflected an appreciation that owner's rights should be upheld regardless of whether the owner's identity is known, or whether the owner is nearby. Moreover, children's responses suggest that they view ownership as restricting nonowners from using property, rather than affecting use by entitling owners.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".