Comparative Anthropology According to Kant, Herder and Wilhelm Von Humboldt
Bibliographic record
Abstract
This paper focuses on an area where the anthropologically oriented philosophers of the late German Enlightenment--Immanuel Kant, Johann Gottfried Herder, and Wilhelm von Humboldt--differed greatly among themselves: the value they assigned to the distinct qualities of peoples (Volker), as opposed to investment in the emergence of a cosmopolitan (weltburgerliche) order in which human differences would diminish. Their thoughts about human nature and human differences are situated in the time before Europe’s nation-states and overseas colonies had fully coalesced. To them, it was still possible to imagine such widely divergent utopian futures as one in which the world was peacefully populated by many distinct peoples (Herder), or a somewhat contrary vision in which a global commonwealth would bring all nations together under the aegis of eternal truths and universally shared values (Kant). Steering a middle course, Humboldt stressed the importance of exposure to and interaction with culturally divergent societies for the personal growth of individuals and the progress of peoples. Each was aware of the increasing centralization and power of states and the growing potential of states to imperil their neighbours and to act destructively toward their own citizens; but each had different conceptions of the nature and value of human differences as they tried to come to terms with the global implications of the extended reach of states.
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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 | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.019 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".