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Record W4411607307 · doi:10.1080/21622671.2025.2501082

Deconstructing sovereignty: (non-)life, territorial power and the everyday ecologies of hybrid governance

2025· article· en· W4411607307 on OpenAlexaff
Diane E. Davis, Frank Müller

Bibliographic record

VenueTerritory Politics Governance · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicPeacebuilding and International Security
Canadian institutionsFuture EarthCanadian Institute for Advanced Research
FundersH2020 Marie Skłodowska-Curie Actions
KeywordsSovereigntyCorporate governancePower (physics)Everyday lifePolitical sciencePolitical economyEconomic systemSociologyPoliticsBusinessEconomicsLaw

Abstract

fetched live from OpenAlex

This special issue explores the territorial logics of competing sovereignties and their impacts on social and material infrastructure, deployment of violence and the politico-ecological transformation of bare life, livelihoods and terrain. Although sovereign regimes may aspire to monopolise violence and cultivate legitimacy, such projects are often incomplete or highly contested. Territorial sovereignty, however, continues to be a strong fiction needing repeated (infrastructural) materialisation of exclusive power for governments, despite evidence of their subordination to illicit and private actors’ own political agendas and illiberal uses of violence. The papers demonstrate that illicit or illegal practices seeking to counteract, undermine or supplant formal sovereign authority, are widespread across multiple scales, and involve diverse materialities in the distribution of agency across cities, the countryside, border regions and spaces of production. The introduction pushes the debate on the (il)liberal underpinnings of contested state sovereignty beyond biopolitics: Turning towards the material and territorial conditions of sovereignty highlights how power operates within a more fundamental distinction between ‘Life and Nonlife’. Such an ecological and geological turn acknowledges that the sovereign decision over life must not only include non-human agency but also a critical focus on the categorisation and scalability of the living and the non-living.

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)0.002
metaresearch head score (Gemma)0.003
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: Empirical · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.022
Scholarly communication0.0110.010
Open science0.0010.005
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0050.000

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.

Opus teacher head0.007
GPT teacher head0.275
Teacher spread0.268 · 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
GenreEmpirical

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

Citations3
Published2025
Admission routes1
Has abstractyes

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