Remembering in tool-use tasks in children and apes: The role of the information at encoding
Bibliographic record
Abstract
Providing adults with relevant information (knowledge that they will be tested at some future time) increases motivation to remember. Research has shown that it is more effective to have this information prior to, rather than after, an encoding phase. We investigated this effect in apes and children in the context of tool-use tasks. In Experiment 1 we presented chimpanzees, orangutans, and bonobos with two tool-use tasks and three different two-tool sets. We had two conditions: prospective (PP) and retrospective (RP). In the PP subjects were shown the task that they would have to solve before they were shown the tools with which they could solve it. In the RP this order was reversed. Apes remembered the location of the useful tool better in the PP than in the RP. In Experiment 2 we presented 3- and 4-year-olds with the same conditions. Both age groups remembered the location of the correct tool in the PP, but only the 4-year-olds did so in the RP. Thus providing apes and preschool children with relevant information prior to, rather than after, the encoding phase enhances memory. These results have important implications for the understanding of the evolution of memory in general, and encoding mechanisms in particular.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".