MétaCan
Menu
Back to cohort
Record W3013324356 · doi:10.26522/ssj.v2020i14.1869

Nervous Conditions on the Limpopo: Gendered Insecurities, Livelihoods, and Zimbabwean Migrants in Northern South Africa

2020· article· en· W3013324356 on OpenAlexafffundvenue
Blair Rutherford

Bibliographic record

VenueStudies in Social Justice · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsCarleton University
FundersSocial Sciences and Humanities Research Council of CanadaQueen's University
KeywordsLivelihoodEthnographyAccommodationGender studiesSociologyPolitical scienceSocial justiceEconomic growthSocioeconomicsGeographyCriminology

Abstract

fetched live from OpenAlex

This paper examines some of the gendered insecurities informing some of the livelihood practices of Zimbabwean migrants in northern South Africa from 2004-2011, the period in which I carried out almost annual ethnographic research in this region. Situating these practices within wider policy shifts and changing migration patterns at the national and local scales, this paper shows the importance of attending to gendered dependencies and insecurities when analysing migrant livelihoods in southern Africa. These include those found within humanitarian organizations targeting Zimbabwean migrants in their programs and policies in the border area. These gendered insecurities, which are woven into the fabric of travel, work and accommodation for these migrant Zimbabwean women in northern South Africa, should be examined in struggles for social justice. By drawing on the lens of social critique to engender a wider sense of the social justice needs for Zimbabwean women migrants in South Africa, this essay aims to broaden the focus of activism on women migrants to also attend to gendered insecurities in their everyday economic and shelter-seeking activities.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.120
Threshold uncertainty score0.896

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
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 head0.100
GPT teacher head0.346
Teacher spread0.246 · 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 teacher head, 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

Citations5
Published2020
Admission routes3
Has abstractyes

Explore more

Same venueStudies in Social JusticeSame topicMigration and Labor DynamicsFrench-language works237,207