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Record W2164749201 · doi:10.1177/0957154x06073012

Hysteria and catatonia as motor disorders in historical context

2006· article· en· W2164749201 on OpenAlexafffund
Edward Shorter

Bibliographic record

VenueHistory of Psychiatry · 2006
Typearticle
Languageen
FieldMedicine
TopicElectroconvulsive Therapy Studies
Canadian institutionsCanada Research ChairsUniversity of Toronto
FundersCanadian Institutes of Health Research
KeywordsHysteriaCatatoniaPsychogenic diseaseConversion disorderContext (archaeology)PsychologyPresentation (obstetrics)PsychiatryMedicineSchizophrenia (object-oriented programming)HistorySurgery

Abstract

fetched live from OpenAlex

It is difficult to imagine motor symptoms in psychiatry as different as hysteria and catatonia. The mechanism of hysteria is presumed to be psychogenic, while catatonia has always been considered to be among the most organic syndromes in psychiatry. Yet hysteria and catatonia have historically been regarded as allied conditions, an observation borne out by recent developments in neuroscience as well as by a growing awareness that the presentation of both conditions has changed over the years. In hysteria, the main shift has been from motor symptoms to sensory complaints such as chronic fatigue; in catatonia, the major change has been the virtual disappearance of negativistic or oppositional behaviour. It is possible that catatonia as well as hysteria may be responsive to changing cultural norms.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.004
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0020.010
Scholarly communication0.0020.003
Open science0.0000.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.006
GPT teacher head0.223
Teacher spread0.217 · 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

Citations17
Published2006
Admission routes2
Has abstractyes

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