Bibliographic record
Abstract
This paper sketches out the contours of the philosopher G W F Hegel's geographical thought. Until now, geographers have shown little interest in Hegel's geographical writing. He has figured minimally in histories of geography, and critical geographers who have engaged with Hegel have done so indirectly, either through Karl Marx's work or through Marxist and postcolonial scholars' readings of Hegel. This paper offers a more direct reading. It begins from an understanding of geographical thought as both an intellectual and a practical endeavor with its own distinct historical geographies. It examines Hegel's concepts of ‘nature’ ( Natur) and ‘space’ ( Raum); his understanding of geography's relationship to history and anthropology; his relationship to Carl Ritter and Alexander von Humboldt; and the significance of ‘territory’ in his political philosophy. It highlights the ambiguity that characterized Hegel's thinking about geography, especially in his discussion of climate's influence on humans. It also challenges Henri Lefebvre's reading of Hegel's view on the state's relationship to territory. Finally, it suggests that Hegel's conceptions of nature, space, and geography mattered not only for his philosophies of history, nature, and subjective spirit, but for his understanding of modernity's geographies as well.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.039 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".