Bibliographic record
Abstract
Abstract Owners decide what happens to their property, and so adults typically view autonomous beings as non-owned. If children likewise consider autonomy when judging what is owned, this may have implications for how they view themselves. If children believe that parents have power over them, that they themselves lack autonomy, and that only the autonomous cannot be owned, this may lead them to believe that they are owned by their parents. Across three experiments, we found that 4- to 7-year-old children (N = 206) consistently affirm that children are owned by their parents. In Experiment 1, children judged that children and domesticated animals are owned, but denied this for adults and wild animals. In Experiment 2, children were more likely to see children as owned by their parents than by their teachers, and also denied that children own either kind of adult. Finally, in Experiment 3, children were less likely to view a child who makes decisions against parental authority as owned. These judgments are unlikely to mirror what children have been told. Instead, they likely result from children spontaneously using autonomy principles, and possibly other principles of ownership, in reasoning about the ownership of living entities.
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 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 | 0.001 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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.
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".