Localizing damage in the functional architecture: The distinction between implicit and explicit processing in deep dyslexia
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Deep dyslexia is an acquired reading disorder in which a previously literate adult produces semantic errors during reading and demonstrates impaired nonword reading. Most models of the syndrome account for the reading errors observed in deep dyslexia in terms of multiple loci of damage. In contrast, Buchanan, McEwen, Westbury, and Libben [(2003). Semantic and semantic error: Implicit access to semantic information from words and nonwords in deep dyslexia . Brain & Language. Special Issue: Meaning in language , 84, 65–83] proposed in their Failure of Inhibition Theory (FIT) that reading errors result from damage in the phonological output lexicon alone. According to this formulation, semantic errors result from impaired explicit access and production due to failure of inhibition. In contrast, implicit processing is assumed to be intact in deep dyslexia. In the current manuscript, we tested several predictions that develop from the FIT in order to localize damage in the functional architecture of the language system.
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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 | 0.001 | 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 it