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Contested Territory

2025· book· en· W4409038327 on OpenAlexaff
Anna Jurkevics

Bibliographic record

Venuenot available
Typebook
Languageen
FieldArts and Humanities
TopicHistorical and Contemporary Political Dynamics
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsGeographyHistory

Abstract

fetched live from OpenAlex

Abstract Contested Territory presents a critical, non-sovereign theory of territorial rights capable of responding to border-defying global crises such as land dispossession, mass migration, and environmental depredation. Statist theorists have attempted to mitigate these crises within the framework of territorial sovereignty, but have not grasped how this crumbling system causes the problems they seek to solve. Others, pitting cosmopolitanism against sovereignty, have turned away from territoriality, thus ignoring the geographical dimensions of freedom. The need for a radical shift in theorizing territory is urgent. This book embarks on that shift and argues, against the mainstream view, that it is possible to theorize democracy within a framework of territorial non-sovereignty. In an effort to loosen the grip of sovereignty and broaden our territorial imagination, Contested Territory resuscitates a long-suppressed tradition in the history of political thought: the tradition of theorizing contested territory. The theorists of contested territory—anarchists, exiles, federationists, cosmopolitans, indigenous theorists, and so on—do not view the absence of sovereignty over land as a problem, and instead find democratic potential in overlapping rule. Building on such alternatives, this book charts normative foundations for a cosmopolitan, democratic theory of territory and land politics. Through a critical engagement with the thought of Hannah Arendt, it grounds democratic land governance in the land-based, non-sovereign practices of world-building. Contested Territory concludes that is both possible and desirable to decouple democracy and territorial sovereignty, and that by doing so we can better respond to the border-defying crises of our age.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.034
Threshold uncertainty score0.113

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0040.013
Scholarly communication0.0100.007
Open science0.0010.006
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0340.003

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.

Opus teacher head0.024
GPT teacher head0.194
Teacher spread0.170 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreOther

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".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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