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Record W2093377442 · doi:10.1002/jhbs.10088

Where did the ventricular localization of mental faculties come from?

2003· article· en· W2093377442 on OpenAlexaff
Christopher D. Green

Bibliographic record

VenueJournal of the History of the Behavioral Sciences · 2003
Typearticle
Languageen
FieldArts and Humanities
TopicHistory of Medicine Studies
Canadian institutionsYork University
Fundersnot available
KeywordsMiddle AgesMental activityPeriod (music)Mental representationCognitionLateral ventriclesPsychologyHistoryPhilosophyAestheticsNeuroscienceAncient history

Abstract

fetched live from OpenAlex

During the Middle Ages it was widely believed that the various mental faculties-sensation, cognition, memory, and so forth-were each located in a specific part of the three ventricles that were thought to be housed in the brain. The origin of this scheme was commonly attributed to the ancient scholars, but it was rare for a specific individual to be identified as the originator. Modern researchers sometimes attribute it to Galen, but Galen was clear in his contention that the mental faculties were located in the substance of the brain rather than in the ventricles. It was only later scholars who, using Galen's anatomy as their basis, placed the mental faculties in the ventricles themselves. The system came together piece by piece over a period of centuries, probably not appearing fully in the form known to the Medieval world until the Middle Ages themselves. This article traces the development of the theory of ventricular localization of the mental faculties from the Ancient world to the early part of the Middle Ages.

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)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0020.025
Scholarly communication0.0040.013
Open science0.0010.002
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0050.001

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 head0.068
GPT teacher head0.265
Teacher spread0.197 · 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 designTheoretical or conceptual
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

Citations38
Published2003
Admission routes1
Has abstractyes

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