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Record W2525437063

The Development Security Nexus: Threat or Opportunity for the Developing South?

2012· article· en· W2525437063 on OpenAlexaboutno aff
Mbongeni Ngulube

Bibliographic record

VenueLirias (KU Leuven) · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Development and Aid
Canadian institutionsnot available
Fundersnot available
KeywordsNexus (standard)Computer securityDeveloping countryBusinessPolitical scienceEconomic growthComputer scienceEconomics
DOInot available

Abstract

fetched live from OpenAlex

Since inception, the development industry has evolved within adverse geopolitical conditions, most acutely, the Cold War. Various accounts, particularly post-development literature, assert that the discourse of war was displaced onto the social domain and to a new geographical terrain via ‘the war on poverty’ (Escobar, 1995). While there is increasing interest in the security discourse within the humanitarian/emergency fad, particularly since the 911 attacks, most accounts suggest that this shift skews development practice. However, when analysed within the East – West development axis, I argue that the glove of benevolence is rolling back to reveal an ‘iron fist’. Exacerbated by the economic crisis, appearance of the BRICS and dominance of Chinese ‘soft power’, it serves to undress other forms of Western ‘insecurity’. In Europe, Merkel employs the spectre of war to achieve support for the rescue fund announcing perhaps the arrival of force as ‘politics of last resort’. In the cooperation arena, the Western agenda is becoming blatant, revealed in the launch of Africa Command (AFRICOM) by the US, followed by the UK, including traditionally benign states like Canada and Denmark. While this shift is seen as a threat for development outcomes in the South, few accounts have contemplated the opportunities contained in the slippery slope presented by the development-security nexus. If development is exposed as Western insecurity rather than Southern assistance; what opportunity does this present for Southern States? Can the so called radicalised states like Zimbabwe and Venezuela perhaps point a justified re-direction of development focus in the bid for self determined improvement? [ Keywords: terrorism, geopolitics, radicalised states; post-development]

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)0.003
metaresearch head score (Gemma)0.004
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 score0.014
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0060.027
Scholarly communication0.0120.023
Open science0.0010.014
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.0140.001

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 head0.128
GPT teacher head0.363
Teacher spread0.235 · 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

Citations0
Published2012
Admission routes1
Has abstractyes

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