Bibliographic record
Abstract
In 1934 Wilder Penfield's vision of an establishment dedicated to the relief of sickness and pain and the study of neurology led to the creation of the Montreal Neurological Institute. Setting the standard for neurological research and care for patients disabled by neurological illnesses, Penfield's institute became a beacon of light in a largely unexplored field of medicine. The Wounded Brain Healed describes the pioneering research that took place during the MNI's first fifty years. During the institute's golden age, Penfield and his colleagues designed the EEG test for the study of epileptic patients, discovered some of the causes of epilepsy, and developed new treatments that have since been adopted worldwide. Additionally, they delineated the sensory and motor representation in the cerebral cortex and localized the major areas of the brain related to speech. The institute also boasts the discoveries of two types of memory - one serving immediate recall, the other long term - as well as the discovery of the localization of short-term memory to the inner structures of the temporal lobe. Physicians and scientists who trained at the MNI went on to establish renowned neurology and neurosurgery departments throughout Canada, the United States, Europe, Asia, and Latin America. Recounting the story of one of Canada’s greatest contributions to international medical science through archival research, personal interviews, photographs, illustrations, and paintings, The Wounded Brain Healed provides fascinating insight into the institution that had a global and lasting impact.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.007 | 0.018 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.018 | 0.004 |
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".