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Record W2743476848 · doi:10.1093/shm/hkx051

William Feindel and Richard Leblanc, The Wounded Brain Healed: The Golden Age of the Montreal Neurological Institute, 1934–1984

2017· article· en· W2743476848 on OpenAlexaboutno aff
Stephen Casper

Bibliographic record

VenueSocial History of Medicine · 2017
Typearticle
Languageen
FieldMedicine
TopicHistory of Medical Practice
Canadian institutionsnot available
Fundersnot available
KeywordsInstitutionNeurosurgeryPsychoanalysisNeuropsychologyBiographyNeurochemistryPsychologyNeurologyMedicineArt historyClassicsHistoryNeurosciencePsychiatryLawPolitical scienceCognition

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.668
Threshold uncertainty score0.989

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.014
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.053
GPT teacher head0.306
Teacher spread0.253 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2017
Admission routes1
Has abstractyes

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