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Record W2940125530 · doi:10.4324/9781315564630-13

Diminishing Human Security: The Canadian Case

2016· article· en· W2940125530 on OpenAlexaboutno aff
Heather A. Smith

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Security and Public Health
Canadian institutionsnot available
Fundersnot available
KeywordsHuman securityGeopoliticsGlobePolitical scienceGlobalizationContext (archaeology)MainstreamNational securityPolitical economyPandemicHuman rightsInternational relationsInternational securityEconomic growthPoliticsSociologyDevelopment economicsPublic administrationCoronavirus disease 2019 (COVID-19)GeographyEconomicsLawMedicine

Abstract

fetched live from OpenAlex

This chapter examines in a very general way, the context of the security crisis of HIV/AIDS in Sub-Saharan Africa (SSA). It identifies the ways in which the HIV/AIDS pandemic is being securitised, and some of the potential implications of emerging security discourses for HIV/AIDS policy on the continent. The chapter suggests how a critical feminist lens might broaden and deepen these perspectives. The mainstream securitisation of HIV/AIDS, which views the virus and its spread as a threat to United States (US) national security and its geopolitical interests around the globe, needs critical interrogation. In the securitisation of HIV/AIDS, attention needs to be focused on the theoretical and very real contradictions between national and human security and how they contribute to the manner in which various epidemics, and the responses to them, unfold. Feminist International Political Economy (IPE) and International Relations scholars have challenged the idea that human security can be realized within the context of neoliberal globalisation.

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)0.007
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.157
Threshold uncertainty score0.978

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.006
Science and technology studies0.0690.020
Scholarly communication0.0100.003
Open science0.0030.006
Research integrity0.0080.008
Insufficient payload (model declined to judge)0.0130.001

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 head0.043
GPT teacher head0.346
Teacher spread0.303 · 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 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

Citations3
Published2016
Admission routes1
Has abstractyes

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