William Feindel and Richard Leblanc, The Wounded Brain Healed: The Golden Age of the Montreal Neurological Institute, 1934–1984
Bibliographic record
Abstract
The editors of The Wounded Brain Healed: The Golden Age of the Montreal Neurological Institute, 1934–1984 have compiled an interesting collection of essays examining the intellectual and institutional history of Canada’s preeminent institution for neurology and neurosurgery. In myriad ways the contributors to this richly illustrated volume seek to assess both the internal history of the institute and its local, national and global reach. Such a volume would of necessity dwell on the personalities of leading figures in the institution, and unsurprisingly neurosurgeon Wilder Penfield, the founder of the Institute, is given a large amount of attention (as are other Directors). There is also substantial attention paid to emerging areas of research in the post-1960s, including neurochemistry, neuropsychology, neurogenetics and multiple sclerosis. The volume is also a collective biography. It is peppered with short biographies of students, scientists, academics and administrators, men and women. Most notable among these are passages focused on neuropsychologist Brenda Milner and her famous patient, H. M. (Henry Molaison). Lesser-known patients also feature in the volume, including P. B. and F. C., both patients who had deep brain resective surgeries that removed mesial temporal structures near the hippocampus. These cuts, along with the case of H. M., resulted, as the authors observe, in a discovery that came close to ‘the seat of memory, or at least one of its haunts’ (p. 289). While a passage like that above does communicate something of the tone of the volume, there are in truth few sources that provide so clear a picture on this important institution’s history.
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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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.007 | 0.007 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".