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Record W4306809602 · doi:10.1093/schbul/sbac108

Hermann Hoffmann’s 1921 Monograph: “The Offspring of Endogenous Psychoses: Genealogical-Characterological Examinations”

2022· article· en· W4306809602 on OpenAlexaff
Kenneth S. Kendler, Astrid Klee

Bibliographic record

VenueSchizophrenia Bulletin · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicMedical History and Research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsOffspringLocus (genetics)Mendelian inheritanceAllelePsychologyProbandGeneticsDemographyBiologySociologyGene

Abstract

fetched live from OpenAlex

Five years after the publication of Rüdin's major sibling study, Hermann Hoffmann, working with Rüdin, performed the first systematic study of the risk for dementia praecox (DP) in offspring of DP probands. Field work was limited to 3 months. Hoffmann ascertained families with at least one parent with certain DP, after Kraepelin, with children the youngest of whom were at least 30 years old. These families contained 103 offspring 30 years or older of whom 7 had definite DP and two possible DP for an estimated risk of 6.8%-8.7%. Hoffmann assessed schizoidia in these children, reporting the quite high risk figure of 47.6%. Hoffmann explored a wide range of two and three locus recessive models in his modest sample. He finds Rüdin's two locus recessive model at the boundary of his results and then reviews three additional more complex models. The simplest is a three-locus recessive model which fits his data better. He also explores an oligogenic three locus model with risk classes of individuals with 1 to 6 risk alleles and an epistatic model where two loci form a di-recessive model for schizoidia, and the third locus is a dominant required for the expression of psychosis. Hoffman questioned whether DP was a "unit-character" appropriate for Mendelian analysis and advocated for a much larger study of offspring. His work should be appreciated in light of his enthusiastic endorsement of Nazi eugenic goals.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.738
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0390.000

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 head0.074
GPT teacher head0.233
Teacher spread0.159 · 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
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

Citations4
Published2022
Admission routes1
Has abstractyes

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