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Record W4412672341 · doi:10.1017/9781009450966.004

Historical Origins of Catatonia

2025· book-chapter· en· W4412672341 on OpenAlexaff

Bibliographic record

VenueCambridge University Press eBooks · 2025
Typebook-chapter
Languageen
FieldMedicine
TopicElectroconvulsive Therapy Studies
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsCatatoniaPsychologyHistoryPsychoanalysisPsychiatrySchizophrenia (object-oriented programming)

Abstract

fetched live from OpenAlex

Karl Ludwig Kahlbaum (1828–1899), a German psychiatrist, is widely recognized for his seminal work Catatonia or Tension Insanity , published 1874, in which he first conceptualized catatonia as a distinct psychomotor disorder. However, the observation of catatonic signs in the context of mental illness predates Kahlbaum’s formal classification. Understanding the history and development of different clinical concepts of catatonia before and after Kahlbaum is paramount for grasping the intricacies of current classification systems such as ICD-11 and DSM-5. Historical perspectives provide valuable insights into the evolution of diagnostic criteria and conceptualizations of catatonia over time, highlighting the diverse array of clinical presentations and the challenges inherent in defining and categorizing this complex syndrome. Further, by studying historical perspectives, clinicians and researchers gain insight into the diverse ways in which catatonia has been perceived, defined, and categorized throughout history. This chapter includes previous work on the topic of the history of catatonia as well as more recent systematic research in electronic historical archives. It addresses the origins of catatonic signs during the eighteenth century and how the concept of catatonia has been embedded in historical psychiatric literature of the nineteenth century.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.855
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.020
GPT teacher head0.223
Teacher spread0.203 · 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
GenreOther

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
Published2025
Admission routes1
Has abstractyes

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