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Record W3111736532 · doi:10.1111/ajps.12578

Territorial Rights in Unoccupied Places

2020· article· en· W3111736532 on OpenAlexafffund
Margaret Moore

Bibliographic record

VenueAmerican Journal of Political Science · 2020
Typearticle
Languageen
FieldEngineering
TopicMining and Resource Management
Canadian institutionsQueen's University
FundersSocial Sciences and Humanities Research Council of CanadaNorges Forskningsråd
KeywordsNormativeEconomic JusticeResource (disambiguation)AppealStewardship (theology)Political scienceEnvironmental ethicsSociologyLaw and economicsLawPoliticsComputer sciencePhilosophy

Abstract

fetched live from OpenAlex

Abstract The standard justifications for control over territory appeal to goods that are delivered to persons who inhabit the territory (self‐determination, justice). This raises the question: What justifies territorial rights in unoccupied places? This question is relevant to a pressing practical question concerning the permissibility of national and corporate interests in mining or gas drilling and other resource extraction activities in unoccupied places, some of which were either technologically impractical or prohibitively expensive in the past, but which now are possible. The territorial rights literature does not focus on unoccupied places, treating resource rights there as an extension of rights in occupied places, thereby suggesting that these activities could be justified in the same way. This article examines the distinctive normative contours of unoccupied spaces, and so considers a number of possible arguments to justify such rights. It focuses on rights to resources in relation to three different kinds of unoccupied places and suggests that the stewardship justification is the most promising (although there is some role for other arguments in relation to certain kinds of unoccupied places).

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)0.003
metaresearch head score (Gemma)0.005
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 score0.008
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.032
Scholarly communication0.0060.006
Open science0.0010.005
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0080.000

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 head0.008
GPT teacher head0.236
Teacher spread0.228 · 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

Citations0
Published2020
Admission routes2
Has abstractyes

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Same venueAmerican Journal of Political ScienceSame topicMining and Resource ManagementFrench-language works237,207