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Record W2074444412 · doi:10.1258/jmb.2008.008042

Kaethe Kollwitz (1867-1945): the artist who may have suffered from Alice in Wonderland Syndrome

2009· article· en· W2074444412 on OpenAlexaff
G. Drysdale

Bibliographic record

VenueJournal of Medical Biography · 2009
Typearticle
Languageen
FieldNeuroscience
TopicAesthetic Perception and Analysis
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsAlice (programming language)FeelingStyle (visual arts)GermanNaturalismArtArt historyPerceptionPoliticsPsychologyPsychoanalysisVisual artsHistoryPhilosophySocial psychology

Abstract

fetched live from OpenAlex

Kaethe Kollwitz was a 20th century German artist who grew to fame for her socio-political impressions of Germany during World Wars I and II. In her diary, Kollwitz self-described symptoms of Alice in Wonderland Syndrome during her childhood. She complained of episodes where objects appeared to grow larger or smaller and perceptual distortions where she felt she was diminishing in size. This may explain why Kollwitz's artistic style appeared to shift from naturalism to expressionism, and why her artistic subjects are often shaped with large hands and faces. The distortion present in her visual art may have less to do with a deliberate emphasis of the artist's feelings and more to do with her perceptual experience.

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)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.024
GPT teacher head0.298
Teacher spread0.273 · 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 designCase report
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
Published2009
Admission routes1
Has abstractyes

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