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Record W2079501509 · doi:10.3366/e175508821000042x

Kant, International Law, and the Problem of Humanitarian Intervention

2010· article· en· W2079501509 on OpenAlexfundno aff
Antonio Franceschet

Bibliographic record

VenueJournal of International Political Theory · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Peace and Security Dynamics
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsHumanitarian interventionResponsibility to protectPrinciple of legalityLawIntervention (counseling)Coercion (linguistics)Political scienceLaw and economicsInternational lawPoliticsSecurity dilemmaSociologyPsychology

Abstract

fetched live from OpenAlex

International law has one principal mechanism for settling the legality of humanitarian interventions, the United Nations Security Council's power to authorise coercion. However, this is hardly satisfactory in practice and has failed to provide a more secure juridical basis for determining significant conflicts among states over when humanitarian force is justified. This article argues that, in spite of Immanuel Kant's limited analysis of intervention, and his silence on humanitarian intervention, his political theory provides the elements of a compelling analysis on this topic. Five components of Kant's roadmap towards perpetual peace and an eventual world republic give conditional support for humanitarian intervention even in imperfect juridical conditions. This support is conditional on the achievement of juridical progress within and among states and has implications for the development of cosmopolitan citizenship. From Kant we learn that, ultimately, humanitarian intervention should become a matter of coercive law enforcement rather than an ethical question of ‘saving strangers’.

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)0.011
metaresearch head score (Gemma)0.011
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 score0.063

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.011
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0090.076
Scholarly communication0.0100.009
Open science0.0010.005
Research integrity0.0100.010
Insufficient payload (model declined to judge)0.0040.001

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.

Opus teacher head0.007
GPT teacher head0.308
Teacher spread0.300 · 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

Citations13
Published2010
Admission routes1
Has abstractyes

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Same venueJournal of International Political TheorySame topicGlobal Peace and Security DynamicsFrench-language works237,207