Cultural Variations in the Curse of Knowledge: the Curse of Knowledge Bias in Children from a Nomadic Pastoralist Culture in Kenya
Bibliographic record
Abstract
Abstract We examined the universality of the curse of knowledge (i.e., the tendency to be biased by one’s knowledge when inferring other perspectives) by investigating it in a unique cross-cultural sample; a nomadic Nilo-Saharan pastoralist society in East Africa, the Turkana. Forty Turkana children were asked eight factual questions and asked to predict how widely-known those facts were among their peers. To test the effect of their knowledge, we taught children the answers to half of the questions, while the other half were unknown. Based on findings suggesting the bias’s universality, we predicted that children would estimate that more of their peers would know the answers to the questions that were taught versus the unknown questions. We also predicted that with age children would become less biased by their knowledge. In contrast, we found that only Turkana males were biased by their knowledge when inferring their peers’ perspectives, and the bias did not change with age. We discuss the implications of these findings.
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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 | 0.001 | 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 | 0.001 |
| 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".