Epistemics for Learning Disabilities: Contributions from Magnetoencephalography, a Functional Neuroimaging Tool
Why this work is in the frame
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Bibliographic record
Abstract
The syndrome known as Learning Disabilities (LD) was described by S. Kirk\nin 1963. From that point on, institutions from the US, Canada and Spain\nhave engaged in refining the concept and classification of LDs. The Com-\nplutense University in Spain, has proposed a descriptive and all-embracing\ndefinition, and has studied the different manifestations of LD, pursuing the\ndescription of biological markers and neurological features of LD’s main\nexpressions: dyslexia, dyscalculia, dysorthographia, Attention Deficit and\nHyperactivity Disorder –ADHD, and so forth. Findings in LD using functio-\nnal neuroimaging techniques, namely Magnetoencephalography (MEG),\nare described. MEG is a non-invasive technique, which records magnetic\nfields naturally generated by the brain and their spatial distribution. It allows\nsimultaneous functional and structural information. MEG is therefore used\nin the study of primary and superior cognitive functions, in surveillance of\npatterns of normal cognitive function and those specific to the different LD\nclinical manifestations.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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