히틀러의 흑인 희생자를 상상하기:다방향 기억(Multidirectional Memory)과 최근의 홀로코스트 소설 [Imagining Hitler’s Black Victims: Multidirectional Memory and Recent Holocaust Fictions]
Bibliographic record
Abstract
The past five to ten years have witnessed a number of works of fiction – novels and feature films – that have black victims of National Socialism as their protagonists. These include works by African American and African Canadian novelists which place black Americans in Nazi concentration camps, a novel by the prominent French author of political crime stories Didier Daeninckx, and films by Black British film makers. This article offers a critical account of some of the texts and their key tropes – jazz and “human zoos” - and considers where they sit in 21st century memory cultures, including how far they can be understood in terms of Michael Rothberg’s concept of multidirectional memory. Explicable partly in terms of a growing store of ‘common knowledge’ that draws on recent historical scholarhip about the Black Holocaust experience, these works also introduce intriguing triangulations between Holocaust, colonial and American post-slavery experiences. Black writers and film-makers deploy their visions of a Nazi past to reflect on the current situation of African diasporic subjects, but they do so from different positions within the global Black diaspora.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.023 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".