The role of symbol-based experience in early learning and transfer from pictures: Evidence from Tanzania.
Bibliographic record
Abstract
Extensive exposure to representational media is common for infants in Western culture, and previous research has shown that soon after their 1st birthday, infants can acquire and extend new information from pictures to real objects. Here we explore the extent to which lack of exposure to pictures during infancy affects children's learning from pictures. Infants were recruited from a rural village in Tanzania and had no prior experience with pictures. After a picture book interaction during which a novel depicted object was labeled, we assessed infants' learning and transfer of the label from pictures to their referents. In a 2nd study, we assessed infants' learning and generalization of new names using real objects, rather than pictures. Tanzanian infants demonstrated a similar pattern of learning and generalization from real objects, when compared with infants in Western culture. However, there was a significant difference in learning and generalization from pictures to real objects. These findings provide evidence for the important role of early experience with representational media in children's ability to use pictures as a source of information about the world.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".