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Record W4229455593 · doi:10.1111/gequ.12259

Lulu's Smile: An Archive of Trauma in <i>Die Büchse der Pandora</i> (1929)

2022· article· en· W4229455593 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThe German Quarterly · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean history and politics
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsQueerCharacter (mathematics)ScholarshipReading (process)ArtArt historyHistoryLiteraturePsychoanalysisPsychologyPhilosophyLaw

Abstract

fetched live from OpenAlex

This article focuses on Lulu, the protagonist of G. W. Pabst's 1929 film Die Büchse der Pandora , and argues that her frequent smiles are a post‐traumatic affect. From the little information that the audience is given about Lulu, it can be deduced that she is a survivor of sex trafficking. Lulu's smile, with its incongruity and automatic nature, is where her past becomes most legible. I read Lulu's smiles throughout the film as an archive of trauma, as conceptualized by scholars from queer studies and Black studies such as Ann Cvetkovich, Christina Sharpe, and Saidiya Hartman. While Weimar film scholarship often considers Lulu as a femme fatale or a Neue Frau , her implicitly traumatic past is seldom addressed, let alone read as a central trait of her character. This article presents a new reading of Lulu in relation to trauma studies.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.874
Threshold uncertainty score0.424

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.026
GPT teacher head0.298
Teacher spread0.272 · 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