White matter—Maximien Parchappe and the integration of articulate language
Bibliographic record
Abstract
The Imperial Academy of Medicine of Paris met in the spring of 1865 to discuss the localization of speech. One of the participants was Maximien Parchappe (1800-1866), an alienist whose research interests lay in the cerebral cortex. This article addresses Maximien Parchappe's concept that the cognitive elements of language-such as the translation of thoughts into words, the will to express them, and the means to do so-reside within the cortical gray matter, and that they are integrated through white-matter fibers. In so doing, Parchappe anticipated Carl Wernicke's linking of the posterior aspects of the dominant frontal and temporal lobes in verbal expression, and Jules Dejerine's linking of the angular gyrus and Wernicke's area in the understanding of written language. Functional imaging has revived interest in language as a network of neuronal aggregates and has given new relevance to Parchappe's concept of the functional organization of language.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.009 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".