The Influence of Bodily Experience on Children's Language Processing
Bibliographic record
Abstract
The Body-Object Interaction (BOI) variable measures how easily a human body can physically interact with a word's referent (Siakaluk, Pexman, Aguilera, Owen, & Sears, ). A facilitory BOI effect has been observed with adults in language tasks, with faster and more accurate responses for high BOI words (e.g., mask) than for low BOI words (e.g., ship; Wellsby, Siakaluk, Owen, & Pexman, ). We examined the development of this effect in children. Fifty children (aged 6-9 years) and a group of 21 adults completed a word naming task with high and low BOI words. Younger children (aged 6-7 years) did not show a BOI effect, but older children (aged 8-9 years) showed a significant facilitory BOI effect, as did adults. Magnitude of children's BOI effect was related to age as well as reading skills. These results suggest that bodily experience (as measured by the BOI variable) begins to influence visual word recognition behavior by about 8 years of age.
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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 | 0.005 |
| 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 | 0.000 |
| 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".