Mechanization and the spatial distribution of industries in the <scp>G</scp>erman <scp>E</scp>mpire, 1875 to 1907
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The adoption of water, steam, and electric power transformed manufacturing in the nineteenth century. This article studies the relationship between this technological change and the spatial distribution of manufacturing industries in the G erman E mpire during the late nineteenth and early twentieth century. The adoption of steam powered machinery created incentives for manufacturers to form industry clusters near coal mining regions. Specifically, this article shows that a one standard deviation increase in the average size of steam power operations was associated with a rise in geographic concentration of one‐quarter of a standard deviation. In contrast, a one standard deviation increase in the size of water power operations was associated with a drop in geographic concentration of one‐sixth of a standard deviation. This is consistent with the constraint that water powered plants had to be located on a stream with a sufficient gradient and away from other water powered plants to avoid disruption from neighbouring gates and dams. Together the findings indicate that the transition from water to steam powered machinery contributed to the geographic concentration of manufacturing in the nineteenth century.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it