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Record W4205266079 · doi:10.1002/ajmg.b.32886

The place of Franz Kallmann's 1938 “the genetics of schizophrenia” in the history of psychiatric genetics

2022· review· en· W4205266079 on OpenAlexaff
Kenneth S. Kendler, Astrid Klee

Bibliographic record

VenueAmerican Journal of Medical Genetics Part B Neuropsychiatric Genetics · 2022
Typereview
Languageen
FieldArts and Humanities
TopicMedical History and Research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsKallmann syndromeSchizophrenia (object-oriented programming)Context (archaeology)ProbandPenetranceGeneticsPsychiatrySiblingPsychologyDiseaseMedicineDevelopmental psychologyBiologyMutationInternal medicineGene

Abstract

fetched live from OpenAlex

This essay provides the historical context and key findings of one of the largest fieldwork-based family studies ever done in the history of psychiatric genetics conducted in Berlin by Franz Kallmann from 1929 to 1933. It included over 1,000 schizophrenic probands and 12,500 of their relatives including siblings, offspring, nieces/nephews and grandchildren. The work was analyzed in close collaboration with Rüdin, Schulz, and Luxenburger in Munich. Born of Jewish parents, Kallmann had to leave Germany in 1936, completing and publishing the monograph in the United States in 1938. This study included a number of methodologic advances over the classic 1916 sibling study of Rüdin: (a) joint analysis of multiple classes of relatives; (b) subdivision of schizophrenia into four subtypes; (c) a focus on schizoid personality [schizoidia]; (d) examination of the familial aggregation of schizophrenia; and (e) a more complex genetic model-with schizophrenia arising from a single-recessive gene with 70% penetrance and background polygenic influences, and schizoidia from heterozygotes. Kallmann found important differences in risk of relatives in nuclear versus peripheral subtypes and concluded that schizoidia was a part of schizophrenia disease complex while other psychopathies, feeblemindedness, and organic brain disorders were not. Kallmann was strongly invested in the eugenic implications of his results.

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)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.926
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.001
Science and technology studies0.0000.007
Scholarly communication0.0000.000
Open science0.0070.001
Research integrity0.0000.004
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 head0.068
GPT teacher head0.312
Teacher spread0.243 · 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
GenreReview

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

Citations7
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueAmerican Journal of Medical Genetics Part B Neuropsychiatric GeneticsSame topicMedical History and ResearchFrench-language works237,207