The Right Hemisphere's Contribution to the Processing of Semantic Relationships between Words
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Bibliographic record
Abstract
Abstract For more than a century, language has been assumed to be entirely dependent on left‐hemisphere‐based processing. However, since the early 1960s, evidence for the right hemisphere's involvement in language processing, in particular in the semantic processing of words, has emerged. At least three complementary approaches have provided evidence of this: behavioral data from neurologically intact participants, the study of brain‐damaged patients and the use of neuroimaging methods. The goal of this article is to review the major evidence from these three sources concerning the nature of the right hemisphere's contribution to the semantic processing of words. Overall, the data from these studies suggest that both the right hemisphere and the left hemisphere are crucial for semantic processing, with both hemispheres being involved in different ways in the processing of semantic knowledge.
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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 | 0.000 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it