‘EIN ORT, WO SICH ALLES IN EINEN HAUFEN ZUSAMMENDRÄNGT’: BERLIN'S ZELTENPLATZ AS CONTESTED URBAN SPACE
Bibliographic record
Abstract
Abstract The Zeltenplatz, a feature of Berlin's Tiergarten, played a unique role in the city's social life for nearly two centuries. This essay traces the changing clientele of this gathering place during three distinct phases of its history: its initial eighteenth‐century heyday, when it was famed for drawing large and extraordinarily heterogeneous crowds; the period following the Napoleonic Wars, culminating in the 1848 revolution, crucial events of which took place at the Zeltenplatz; and the 1880s, as modern Berlin assumed its place as capital of the new German Empire. At the core of this history for over a century is a contest between aristocratic privilege and the aspirations of Berlin's growing bourgeoisie. Relying on fictional texts, reports by travellers, and various descriptions of the city, this essay describes how the Zeltenplatz, still beyond the full control of civic authorities until 1861, offered unusual freedoms for challenging, playfully or otherwise, the established order and social hierarchies of urban life. Evident throughout is the marked theatricality of this space, which the crowds exploited either to perform, and thereby to confirm, an existing social order or to rehearse new roles and enact social configurations whose realisation in Berlin proper still lay in the future.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.022 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".