Self-Help and State Rescue: The Raiffeisen Bank and Rationalization of the Cooperative Movement in Weimar Germany
Bibliographic record
Abstract
In 1930 Germany's vast and diverse network of agricultural cooperatives was unified in the world's largest cooperative organization. Unification was underwritten by the state in support of an agrarian sector in deep crisis. It was achieved under the banner of rationalization, the elimination of wasteful duplication of rural cooperatives. The focus of this article is how the Raiffeisen General Association, Germany's second-largest cooperative organization, exploited state interest in cooperative merger and the contemporary mantra of rationalization to leverage public aid to overcome a financial crisis in its central credit union, the Raiffeisen Bank. While asserting cooperative principles of mutual assistance and self-help, Raiffeisen pursued unification as a means to state rescue. It thereby re-framed the relationship between self-help and state aid that has been a central theme of scholarship on the German cooperative movement.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".