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Record W2050276531 · doi:10.1016/j.eurpsy.2007.10.003

Károly Schaffer and his school: The birth of biological psychiatry in Hungary, 1890–1940

2007· article· en· W2050276531 on OpenAlex
Brigitta Baran, István Bitter, Max Fink, Gábor Gazdag, Edward Shorter

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueEuropean Psychiatry · 2007
Typearticle
Languageen
FieldArts and Humanities
TopicMental Health and Psychiatry
Canadian institutionsUniversity of Toronto
FundersCanadian Institutes of Health Research
KeywordsPsychologyPsychiatryMedicine

Abstract

fetched live from OpenAlex

In the first third of the twentieth century, neuropathology seemed to offer the key to unlock the causes of psychiatric illness. Among the top centers devoted to the microscopic anatomy of the brain was that of Károly Schaffer in Budapest. Schaffer, a pioneer in the histopathology of Tay-Sachs-Schaffer disease, was also a charismatic teacher, bringing forth a school of investigators in psychopathology. Among them was László Meduna, who originated convulsive therapy. Despite the importance of the Schaffer school, it is almost unknown outside of Hungary, largely the result of the introduction of neurophysiological, neurochemical and molecular genetic methods that distracted attention away from histopathological contributions in psychiatry after the Second World War. The microscopic study of the brain and its diseases seemed increasingly less important. The present biographical account of Károly Schaffer and his school seeks to bring this important story in the early history of biological psychiatry to a wider audience and explain why it has since been forgotten.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.308
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.031
GPT teacher head0.262
Teacher spread0.230 · 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