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Record W2136259729 · doi:10.1093/brain/awm098

The physiologist and the neurosurgeon: the enduring influence of Charles Sherrington on the career of Wilder Penfield

2007· article· en· W2136259729 on OpenAlexaff
William Feindel

Bibliographic record

VenueBrain · 2007
Typearticle
Languageen
FieldMedicine
TopicHistory of Medical Practice
Canadian institutionsMontreal Neurological Institute and HospitalMcGill University
Fundersnot available
KeywordsNeurosurgeryPsychologyNeurosciencePsychoanalysisMedicineGerontologyPsychiatry

Abstract

fetched live from OpenAlex

Wilder Penfield, a Rhodes scholar from Princeton University, New Jersey, was a student in the first course on mammalian physiology given in 1915 at Oxford University by Charles Sherrington, newly arrived from Liverpool where, as Holt Professor of Physiology for 20 years, he had become a leading authority on the physiology of the nervous system. The practical 'exercises' as well as graduate research on the Golgi apparatus and the decerebrate preparation, carried out by Penfield in Sherrington's laboratory, gave him the groundwork to develop his career as a physiological surgeon, who made fundamental observations on functional localization in the human brain during the surgical treatment of patients afflicted with epilepsy.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.993
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.018
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0070.018
Scholarly communication0.0060.005
Open science0.0010.004
Research integrity0.0050.014
Insufficient payload (model declined to judge)0.0040.002

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.

Opus teacher head0.023
GPT teacher head0.271
Teacher spread0.248 · 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 source (direct Gemma or distilled Codex), 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

Citations17
Published2007
Admission routes1
Has abstractyes

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