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Record W2901924419 · doi:10.1177/1363460718797258

Queer necropolitics of forced migration: Cyclical violence in the African context

2018· article· en· W2901924419 on OpenAlexaff
Ali Bhagat

Bibliographic record

VenueSexualities · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicAfrican Sexualities and LGBTQ+ Issues
Canadian institutionsQueen's University
Fundersnot available
KeywordsQueerGender studiesRacializationContext (archaeology)Forced migrationSociologyLesbianHuman sexualityDisplacement (psychology)RelocationPolitical scienceRefugeeRace (biology)GeographyLawPsychologyPsychoanalysis

Abstract

fetched live from OpenAlex

This article seeks to theorize queer necropolitics—the ability for states to decide who lives and who dies—within the context of forced displacement. In doing so, I link the literature on African sexualities, necropolitics, and queer migration and ask the following questions: How do African states engage in necropolitics that fuel forced displacement for queer people? And, how do forcibly displaced queer migrants navigate and survive in heteronormative spaces within the wider context of racialization in Cape Town? I argue that forcibly displaced queer migrants face ongoing forms of displacement based on various dimensions of ‘non-belonging’ from country-of-origin to relocation.

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)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0120.035
Scholarly communication0.0040.005
Open science0.0010.006
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.043
GPT teacher head0.351
Teacher spread0.308 · 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 designQualitative
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

Citations20
Published2018
Admission routes1
Has abstractyes

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