From ‘garden city precursors’ to ‘cemeteries for the living’: contemporary discourse on Krupp housing and <i>Besucherpolitik</i> in Wilhelmine Germany
Bibliographic record
Abstract
ABSTRACT: In the Wilhelmine era (1871–1918) the Krupp steel company developed into Germany's largest industrial establishment and most famous armaments manufacturer. While the firm further cultivated its reputation as ‘Cannon Kings’, it claimed to be a leader in an entirely different area: the provision of housing. Extensively marketed through company publications, displays at international exhibitions and its Besucherpolitik (visitor policy), Krupp's housing developments in Essen generated considerable domestic and international interest. During a period when the housing question increasingly entered the political realm, high-profile individuals such as Kurt Eisner, Hannes Meyer and Alfred von Tirpitz all passionately expressed their views on Krupp's housing developments. This article assesses their historically neglected first-hand observations against the quantitative and qualitative housing achievements of the steel giant.
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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 | 0.002 |
| Science and technology studies | 0.010 | 0.030 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".