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Record W2482507481 · doi:10.1057/9780230299542_7

Cosmopolitan Humanitarianism and the Use of Force

2006· book-chapter· en· W2482507481 on OpenAlexaff
Catherine Lu

Bibliographic record

VenuePalgrave Macmillan UK eBooks · 2006
Typebook-chapter
Languageen
FieldSocial Sciences
TopicGlobal Peace and Security Dynamics
Canadian institutionsMcGill University
Fundersnot available
KeywordsSovereigntyObligationSolidarityGlobal justicePolitical scienceHuman rightsMoral obligationResponsibility to protectHumanityLaw and economicsPoliticsLawEnvironmental ethicsSociologyPhilosophy

Abstract

fetched live from OpenAlex

Our contemporary world presents us with a steady array of undeniable expressions of common inhumanity, confirming the notion of common humanity by negative example. Ironically, the conditions that most urgently lead to calls for international intervention expose the fragmented nature of human solidarity and the attendant frailty of notions of universal moral obligation based on the idea of common humanity. In the face of widespread human suffering caused by various kinds of intrastate violent conflict, state repression or political incompetence leading to state failure, who has a moral obligation to respond? And what do they have as an obligation to do? A cosmopolitan conception of ‘sovereignty as responsibility’ clearly obligates sovereigns to be agents of the domestic public good. When they fail to provide basic public goods such as security, subsistence and justice within their borders, and when domestic accountability systems are inadequate or incompetent, a cosmopolitan view of global order obligates the society of states, as well as the larger global civil society, to call sovereign power to account, and to intervene to alleviate the human suffering caused by the neglect, breakdown or abuse of sovereign power. From a cosmopolitan moral view, then, it is not just domestic or international political leaders who have moral responsibilities to respond to situations of politically induced humanitarian disaster — we all do, in our various individual, collective and institutional capacities.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.006
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.060
Scholarly communication0.0060.006
Open science0.0010.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0050.001

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 head0.035
GPT teacher head0.251
Teacher spread0.217 · 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 designNot applicable
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

Citations0
Published2006
Admission routes1
Has abstractyes

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