Exhibiting city, region and Germanness: Erich Keyser and the State Regional Museum of Danzig History (1927–1939)
Bibliographic record
Abstract
This article explores the work of Erich Keyser, the creator and director of the State Regional Museum of Danzig History, which also functioned as the Museum of the Free City of Danzig. We discuss how Keyser conceptualised exhibitions, organised the collections and interacted with visitors. The article examines the way that Keyser envisioned the role of the museum as an educational and political space, where a transfer of knowledge took place, including right-wing and anti-Polish interpretations of the city’s past. In addition, the museum in Danzig (Polish: Gdańsk) serves as a case study for the analysis of the relationship between urban and rural space in city museums. The ambition of the exhibitions went beyond a representation of Danzig’s urban past, which led to an innovative attempt to combine urban and rural history in the frequently changing displays. Finally, the article discusses the significance of location for this city museum. It was somewhat exceptional, as it was a city museum located in a rural setting in the former Abbot’s Palace in the suburb of Oliva (Polish: Oliwa). Throughout we discuss the intersections of museology, political propaganda, education and nationalism in a city–state setting.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.006 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.000 | 0.001 |
| 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".