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Record W2754667124 · doi:10.3138/seminar.53.3.02

Women in the Archive: Locating the International Tracing Service in German Memory Work

2017· article· en· W2754667124 on OpenAlex
Silke von der Emde

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueSeminar A Journal of Germanic Studies · 2017
Typearticle
Languageen
FieldPsychology
TopicMemory, Trauma, and Commemoration
Canadian institutionsnot available
Fundersnot available
KeywordsPersecutionNazismGermanInscribed figureThe HolocaustService (business)TracingSet (abstract data type)Nazi GermanyHistoryInternet privacyComputer securityPolitical scienceLawComputer sciencePoliticsBusinessArchaeology

Abstract

fetched live from OpenAlex

The International Tracing Service in Bad Arolsen is one of the largest collections of documents related to the Holocaust and Nazi persecution in the world. Originally set up as a tracing service to help provide information for survivors and family members of victims, it has become an invaluable centre for documenting Nazi persecution since it was opened to researchers in 2007. This paper analyzes the interaction of the people of Bad Arolsen with the ITS, which was set up in their small town without their consent. By focusing on the gender relations inscribed into the archive and on the way the people of Bad Arolsen interacted with the archive, I show how we arrive at an expanded notion of the archive on the one hand and at a more multi-dimensional understanding of cultural memory on the other.

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)0.003
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 score0.709
Threshold uncertainty score0.322

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.067
GPT teacher head0.377
Teacher spread0.310 · 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