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Record W2485607330 · doi:10.1017/cbo9780511973574.001

Protection in the Shadow of Empire

2011· book-chapter· en· W2485607330 on OpenAlexaboutno aff
Anne Orford

Bibliographic record

VenueCambridge University Press eBooks · 2011
Typebook-chapter
Languageen
FieldSocial Sciences
TopicGlobal Peace and Security Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsEmpireShadow (psychology)HistoryArtAncient historyPsychologyPsychoanalysis

Abstract

fetched live from OpenAlex

Since the late 1950s, the United Nations (UN) and other international actors have developed and systematised a body of practices aimed at ‘the maintenance of order’ and ‘the protection of life’ in the decolonised world. These practices range from fact-finding and the provision of humanitarian assistance to peacekeeping, the management of refugee camps and territorial administration. As the UN and humanitarian organisations expanded and consolidated those practices, a new form of authority began to emerge. This book is an exploration of the ways in which those practices of governing and that form of authority have been represented. It focuses in particular upon a new basis for justifying and rationalising international rule that emerged at the beginning of the twenty-first century. The international authority to undertake executive action for protective ends was given a detailed normative articulation in the form of a 2001 report by the International Commission on Intervention and State Sovereignty (ICISS) entitled ‘The Responsibility to Protect’. ICISS was an initiative, sponsored by the Canadian government, undertaken in response to serious concerns about the legality and legitimacy of the 1999 North Atlantic Treaty Organization (NATO) action in Kosovo. The responsibility to protect concept is premised upon the notion, to quote former UN Secretary-General Kofi Annan, that ‘the primary raison d’être and duty' of every state is to protect its population. If a state ‘manifestly’ fails to protect its population, the responsibility to do so shifts to the international community.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.995
Threshold uncertainty score0.986

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.042
GPT teacher head0.230
Teacher spread0.188 · 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 teacher head, 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

Citations2
Published2011
Admission routes1
Has abstractyes

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