“Troublesome Performers, Beautiful Fighters”: Bringing to Life the Kolonial-Ausstellung of 1896 at the Museum and Beyond
Bibliographic record
Abstract
In 2017 the exhibition ZurückGESCHAUT, produced by the district Museum Treptow in Berlin, made history when it partnered with antiracist organizations to tell the story of participants in a Völkerschau that had taken place in 1896. It was the first time that a German museum incorporated a critical view of German colonialism in its permanent exhibition and interwove local and global history. The exhibition inspired an artistic audio project, ZurückERZÄHLT (2019), and was subsequently revised (2021). The three projects grappled very differently with challenging source material, a set of anthropological photographs of participants. The article analyses the choices made by museum curators, activists, and artists who cooperated in these innovative, interlocking memory projects. It argues that the cooperation helped the museum relate the hard truths of colonial violence without reproducing that violence in the exhibition space.
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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 | 0.002 | 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 | 0.017 | 0.024 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".