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Collecting on Moral Debts: Reparations for the Holocaust and Pořajmos

2006· article· en· W1964853464 on OpenAlex
Andrew Woolford, Stefan Wolejszo

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

VenueLaw & Society Review · 2006
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical and Contemporary Political Dynamics
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsGenocideThe HolocaustCriminologyFraming (construction)GermanNazismVictimologyPolitical scienceSociologyState (computer science)LawPoison controlSexual abuseHistorySuicide prevention

Abstract

fetched live from OpenAlex

In the early 1980s, Sebba (1980) explored the victimological and criminological dimensions of German Holocaust reparations, utilizing a broad definition of victimization similar to Mendelsohn's (1976) earlier framing of this notion, which included victims of genocide and mass violence. Since this time, scant attention has been paid to the victimology of state crime, and even less to the victimological implications of genocide and mass violence. This is unfortunate since critical victimological lessons can be drawn from the study of the victims of genocide and mass violence. In this article, we focus on the post–World War II monetary reparations, or “compensation,” demands made against the West German state by Jewish and “Gypsy” survivors of Nazi state-sponsored violence. Through a comparative analysis of these two cases, we seek to illustrate the organizational, social, and discursive conditions that either enabled or obstructed victim mobilization and, in so doing, to develop critical tools for better understanding “victim movements” and the trauma narratives they construct.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.855
Threshold uncertainty score0.688

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.075
GPT teacher head0.271
Teacher spread0.196 · 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