Embodied semantic processing: The body-object interaction effect in a non-manual task
Bibliographic record
Abstract
Abstract Body-object interaction (BOI) measures people's perceptions of the ease with which a human body can physically interact with a word's referent. Facilitatory BOI effects, involving faster responses for high BOI words, have been reported in a number of visual word recognition tasks using button press responses. Since BOI effects have only been observed in button-press tasks, it is possible that the effects may be due to priming by high BOI words of the motor system, rather than activation of stored motor information in the lexical semantic system. If this hypothesis is correct, BOI effects should not be observed in tasks using verbal responses. We tested this hypothesis in three versions of a go/no-go semantic categorization task: one version required button press responses, whereas the other two versions required verbal responses. Contrary to the motor priming hypothesis, we observed facilitatory BOI effects in all three versions of the semantic categorization task. These results support the inference that stored motor information is indeed an important component of the lexical semantic system.
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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 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".