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Record W7097607152

Human Security – Conflict, Critique and Consensus: Colloquium Remarks and a

2015· article· en· W7097607152 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicPeacebuilding and International Security
Canadian institutionsnot available
Fundersnot available
KeywordsLimitingInclusion (mineral)Human securityHuman lifeSecurity studies
DOInot available

Abstract

fetched live from OpenAlex

The aim of the colloquium in this issue of Security Dialogue was to both summarize and advance the rich but scattered literature on human security. The result is a microcosm of the ten-year academic debate, told through the condensed perspectives of many of the people who shaped it. This article first summarizes the 21 thoughtful and innovative commentaries, and identifies three principle themes: the theoretical broad-versus-narrow debate, human security’s practi-cal utility, and the fundamental critique and defense of the concept. Then, it is proposed that a threshold-based conceptualization, one rooted in the original UNDP definition, offers a conciliatory way forward to what is often characterized as a fractured debate. It is suggested that limiting threat inclusion by severity, rather than by cause, bridges the divide between the broad and narrow proponents, addresses the many critiques of the concept, and provides a clear policy agenda operating on various scales. Keywords critical security studies • development studies • humanitarian intervention • human security WHEN ASKED CRITICALLY about the level of uncertainty, debate,conjecture, and outright skepticism regarding the concept ofhuman security, former Canadian foreign minister Lloyd Axworthy responded assertively: ‘The world had no idea what sovereignty and the security infrastructure would look like immediately following the signing of the treaty of Westphalia. Norms evolved through decades of debate, thought, action, conflict and compromise’(Axworthy, 2001b). This is worth considering as we address the state and future of the concept of human security – knee-jerk dismissals are clearly premature.

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)0.001
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.759
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0000.000
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 head0.038
GPT teacher head0.382
Teacher spread0.345 · 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
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
Published2015
Admission routes1
Has abstractyes

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