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Record W4366083435 · doi:10.1002/ajmg.b.32937

Irma Weinberg's 1928 paper “on the problem of the determination of heredity prognosis: The risk in the cousins of schizophrenics”

2023· review· en· W4366083435 on OpenAlexaff
Kenneth S. Kendler, Astrid Klee, Eric J. Engstrom

Bibliographic record

VenueAmerican Journal of Medical Genetics Part B Neuropsychiatric Genetics · 2023
Typereview
Languageen
FieldArts and Humanities
TopicMedical History and Research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsGermanPsychiatryJudaismThe HolocaustHeredityProbandPersonalityMedicinePsychologyDemographyGenealogyPediatricsHistoryPsychoanalysisSociologyGeneticsPhilosophyTheology

Abstract

fetched live from OpenAlex

Irma Weinberg, a German-Jewish Neuropsychiatrist/Physician, authored the fourth report from the German Research Institute for Psychiatry in Munich examining the risk for dementia praecox (DP) in particular relatives of DP probands, here first-cousins. She examined 977 cousins of 54 DP probands and found a best-estimate risk of 1.4%. She conducted within-study analyses, showing a much higher risk for DP in the siblings than cousins of DP probands. She studied DP-related personalities showing a familial link between these conditions and risk for DP. She demonstrated that the risk for DP in cousins was impacted substantially by the distribution, in ancestors, of psychosis and personality abnormalities. After completing work on this article, Weinberg worked in private practice in Frankfurt, emigrating to the Netherlands in 1934, where she worked at a Jewish psychiatric hospital. In 1943, German occupiers evacuated the hospital, transporting the patients and staff, either directly to Auschwitz or, like Weinberg, to the Westerbork transit camp. On September 4, 1944, Dr. Weinberg was transported to Theresienstadt and soon thereafter to Auschwitz, where she was murdered at the age of 53. Her history raises painful questions about the relationship between genetic studies of psychiatric illness in prewar Germany and the Holocaust.

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.982
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.004
Scholarly communication0.0000.000
Open science0.0030.000
Research integrity0.0000.002
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 head0.074
GPT teacher head0.322
Teacher spread0.248 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

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