Symposium ‘Theories of Territory beyond Westphalia’
Bibliographic record
Abstract
Is territory a trap? Does the concept of territory trap us into false assumptions of internally homogeneous, externally bounded political communities that exercise uniform sovereignty across their domain? Against the background of debates about territory and the territorial state in international relations, this symposium brings together five contributions in political theory that advance a nuanced and systemic understanding of what territory is. Taken together, they indicate that there is much to the territorial paradigm beyond the modern, sovereign, and territorial state model. There are diverse conceptions of territory, which may be relevant across different legal and political orders. The various conceptual analyses of territory in this symposium suggest that the sovereign state model is only one way in which a sovereign political authority can be territorial. These essays provide the conceptual tools to formulate (and subsequently test) the hypothesis that the transformations in statehood may not be best described in terms of the rise and decline of territorial sovereignty, but as moves from one model of territorially bounded political authority to another. In political theory, it is only in recent years that this foundational concept has received sustained attention from political theorists. This symposium aims to take forward this welcome theoretical development.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.007 |
| Scholarly communication | 0.005 | 0.007 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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".