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Record W139495148

Human Security Report 2009/2010

2011· preprint· en· W139495148 on OpenAlexaboutno aff
Report

Bibliographic record

VenueRePEc: Research Papers in Economics · 2011
Typepreprint
Languageen
FieldHealth Professions
TopicHealth and Conflict Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical sciencePolitical instabilityHuman securityPoliticsQuarter (Canadian coin)Government (linguistics)Development economicsSpanish Civil WarCold warWorld War IIPolitical economyEconomic growthEconomic historyLawGeographySociologyEconomics
DOInot available

Abstract

fetched live from OpenAlex

The Human Security Report 2009/2010 argues that long-term trends are reducing the risks of both international and civil wars. The Report, which is funded by the governments of Canada, Norway, Sweden, Switzerland and the United Kingdom and will be published by Oxford University Press, also examines recent developments that suggest the world is becoming a more dangerous place. These include the following: --Four of the world's five deadliest conflicts--in Iraq, Afghanistan, Pakistan, and Somalia--involve Islamist insurgents. --Over a quarter of the conflicts that started between 2004 and 2008 have been associated with Islamist political violence. --In the post-Cold War period a greater percentage of the world 's countries have been involved in wars than at any time since the end of World War II. --Armed conflict numbers increased by 25 percent from 2003 to 2008 after declining for more than ten years. --Intercommunal and other conflicts that do not involve a government increased by more than 100 percent from 2007 to 2008. --The impact of the global economic crisis on developing countries risks generating political instability and increasing the risk of war. --Wars have become intractable--i.e., more difficult to bring to an end.

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)0.007
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.842
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.003
Research integrity0.0020.009
Insufficient payload (model declined to judge)0.0010.000

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 head0.175
GPT teacher head0.486
Teacher spread0.311 · 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; both teacher heads agree on what is shown here.

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

Citations10
Published2011
Admission routes1
Has abstractyes

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