Non nova, noviter?: Heinrich Dietzel and the last breath of classical political economy in Germany
Bibliographic record
Abstract
In the Germany of the last quarter of the nineteenth-century, the dispute between the German Historical School of Economics and the newly founded Austrian school dominated economic discourse. In this environment, one author stood out in his criticism of both sides: Heinrich Dietzel. Dietzel proposed a theory and method, his Sozialökonomik (social economics), as a solution for the Methodenstreit. This reformulation, while correcting the mistakes of classical political economy, nonetheless followed what he saw the same direction, i.e. of a theoretical discipline with its object of study clearly delimited within the moral/social sciences. The intention was detaching from the latest developments (such as John Stuart Mill’s) as well as from what he saw as other erroneous criticism that, at the time, existed in German-speaking countries. This paper presents Dietzel’s work as relates to all these concerns and to the idea of social science as existed at the time.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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".