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Record W1995181402 · doi:10.1016/j.polsoc.2008.07.002

Contextualizing human security: A ‘deprivation–vulnerability’ approach

2008· article· en· W1995181402 on OpenAlex
James Busumtwi‐Sam

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePolicy and Society · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Security and Public Health
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsHuman securityOperationalizationVulnerability (computing)HarmExpansiveCritical security studiesSecurity studiesHuman development (humanity)Political scienceRisk analysis (engineering)Computer securitySociologyBusinessComputer scienceLawNetwork security policySecurity serviceEpistemologyInformation security

Abstract

fetched live from OpenAlex

Abstract Devising a more precise operational definition of human security has been elusive, hampering efforts to create an effective global framework. This article develops a framework for operationalizing a development-oriented approach to human security that establishes clear research and policy priorities. The analysis stakes out a middle ground between expansive and narrower human security approaches revealing they are not as polarized as sometimes portrayed, and argues that human security and human development are distinct but complementary; whereas the former is a relative condition and the latter is a longer-term process. The paper proposes a deprivation–vulnerability approach to human security, based on the analysis of threats and vulnerabilities conditioned by deprivations and exclusions, and takes initial steps at developing a human security risk management model that initially prioritizes populations more vulnerable to harm.

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.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.874
Threshold uncertainty score0.998

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 studies0.0030.001
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 head0.073
GPT teacher head0.372
Teacher spread0.299 · 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