MétaCan
Menu
Back to cohort
Record W4392881625 · doi:10.1002/ajmg.b.32977

Luxenburger's 1939 Essay on “Schizophrenia and its Hereditary Circle”

2024· review· en· W4392881625 on OpenAlexaff
Kenneth S. Kendler, Astrid Klee

Bibliographic record

VenueAmerican Journal of Medical Genetics Part B Neuropsychiatric Genetics · 2024
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBRCA gene mutations in cancer
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSchizophrenia (object-oriented programming)Mendelian inheritanceTraitDiseasePsychologyDominance (genetics)GeneticsPsychiatryMedicineBiologyPathology

Abstract

fetched live from OpenAlex

In 1939, Hans Luxenburger published a detailed overview of the current status of schizophrenia genetics research, reaching six major conclusions. First, schizophrenia is clearly a hereditary disease. Second, however, schizophrenia is not the hereditary trait itself but rather the consequences of a slowly developing biological progress, the nature of which remains entirely unknown. Third, the full manifestation of the disorder requires certain environmental influences that must come into play. In around 30% of cases, the environment can inhibit hereditary factors so that the predisposition does not manifest in schizophrenia. Fourth, the mode of inheritance of schizophrenia remains unknown, although recessivity is more likely than dominance and monomerism is more likely than polymerism. Fifth, current evidence suggests that schizophrenia is likely etiologically homogenous. Sixth, schizophrenia is part of a hereditary circle that includes "normal" variants of the human personality (schizothymia), a pathological version of this dimension (schizoidia), and other schizophrenia-like delusional syndromes. Luxenburger is skeptical of efforts to clarify further Mendelian transmission models in the absence of pathophysiological markers because schizophrenia cannot serve as a typical phenotype for genetic analysis. By contrast, he strongly supports empirical work on hereditary prognosis, which does not depend on assumptions about any particular phenotype-genotype relationship.

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: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.002
Science and technology studies0.0010.004
Scholarly communication0.0020.003
Open science0.0010.001
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0040.003

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 head0.019
GPT teacher head0.324
Teacher spread0.304 · 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
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

Citations3
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueAmerican Journal of Medical Genetics Part B Neuropsychiatric GeneticsSame topicBRCA gene mutations in cancerFrench-language works237,207