Architecture of Neurology: Establishment of the Montreal NeurologicalInstitute as a Transnational History
Bibliographic record
Abstract
The Montreal Neurological Institute (MNI) is often framed as a triumph of North American medical innovation, an institution converging research, clinical care, and neurosurgery under the leadership of Wilder Penfield. Such narratives fail to account for Penfield's emotional labor and the networks of expertise that shaped the MNI. Using primary sources that reveal the transnational influences embedded in its design, this paper interrogates the foundation and evolution of the MNI particularly by looking at the early years of Penfield's career. It situates the MNI within the broader historiographies of medical space and scientific mobility drawing from Penfield's letters to illustrate the early influences that led to the establishment of the MNI. It proposes that history of emotions and history of mentalities can be effective methodologies to understand the diverse medical research communities of the early 20th century. Using his letters to his mother, Jean Jefferson Penfield, this paper interprets the emotional states of a young, self-doubting Penfield within a network of renowned neurologists of that period. In a wider context, through the case study of the MNI, this paper demonstrates that international collaboration and the physical mobility of researchers - as in the example of the American-born Penfield's global journey in search of knowledge and his path to becoming a naturalized citizen of Canada - are essential for the advancement of scientific research.
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How this classification was reachedexpand
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 | 0.001 |
| 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 | 0.002 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".