MétaCan
Menu
Back to cohort
Record W2053684770 · doi:10.1163/182539112x637192

Penfield’s Homunculus and Other Grotesque Creatures from the Land of If

2012· article· en· W2053684770 on OpenAlexaboutno aff
Claudio Pogliano

Bibliographic record

VenueNuncius · 2012
Typearticle
Languageen
FieldNeuroscience
TopicNeurology and Historical Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCreaturesCognitive sciencePsychologyNeuroscienceHistoryAnatomyPsychoanalysisArtMedicine

Abstract

fetched live from OpenAlex

The neurosurgeon Wilder Graves Penfield (1891-1976) helped to develop a surgical treatment for epilepsy and used his results to investigate the functional organization of the brain. He was instrumental in founding the Montreal Neurological Institute at McGill University, which he directed from 1934 to 1960. There he studied, with his collaborators, the effects of stimulation and surgical ablation on different parts of the brain in order to localize their somatosensory functions. To visualize the results of this research, Hortense Pauline Cantlie drew images of a homunculus whose proportions reflected the extent of the cortical areas controlling different parts of the body. These images were published by Penfield in 1937; a modified version followed in 1950, opening the way for such developments as the diagrams of mammalian brains drawn by the neurophysiologist Clinton N. Woolsey in 1958. This article will reconstruct the history of Penfield's map of the human brain, which was utilized in medical texts for many decades, but which eventually would be severely criticized.

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)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.017
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.017
Scholarly communication0.0030.004
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0100.001

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 head0.040
GPT teacher head0.252
Teacher spread0.212 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations19
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueNunciusSame topicNeurology and Historical StudiesFrench-language works237,207