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Record W2945498499

Making Motherhood Work: Women?s Child Support Claims, Race, and the Remaking of Citizenship in South Africa, 1958-2015

2018· dissertation· en· W2945498499 on OpenAlexaboutno aff
Brady G’sell

Bibliographic record

VenueDeep Blue (University of Michigan) · 2018
Typedissertation
Languageen
FieldSocial Sciences
TopicLegal Issues in South Africa
Canadian institutionsnot available
FundersHorace H. Rackham School of Graduate Studies, University of MichiganDepartment of Afroamerican and African Studies, University of MichiganWenner-Gren FoundationNational Science Foundation
KeywordsCitizenshipGender studiesRace (biology)Work (physics)SociologyPolitical scienceLawPoliticsEngineering
DOInot available

Abstract

fetched live from OpenAlex

This dissertation, tracks the interrelationship between citizenship, kinship, and economy through the lens of claims made by poor South African women for resources to support their children. It is based on 18 months of fieldwork in South Africa that included extended ethnography in the inner-city Point neighborhood of Durban, interviews in isiZulu and English, oral histories, and archival research with court and welfare case files of neighborhood residents. The dissertation demonstrates how the content of citizenship is created and negotiated at the micro-political scale of interpersonal relationship through the everyday processes by which people seek to fashion a secure existence. By detailing women’s labors to garner resources for their families and themselves, this dissertation argues that poor women are shaping the character of citizenship in post-apartheid South Africa and forging new relations between citizens and the state. The critical backdrop to this research is the dramatic transformation of South Africa’s political economy between 1960 and 2015. Alongside a transition that extended democratic citizenship for all, new forms of insecurity and exclusion framed by race, class, and gender, have emerged. The collapse of the waged labor system has made formalizing marriages all but impossible and family life increasingly tenuous, the burdens of which are predominantly shouldered by women who continue to be the primary caregivers of children. This dissertation takes a historical anthropological approach to analyzing the meaning of these political economic shifts by chronicling poor mothers’ livelihood strategies across this period. A key aspect of these strategies is social protection and the political recognition it conveyed. The apartheid-era State Maintenance Grant that once robustly supported a minority of white mothers has been replaced by a radical Child Support Grant (CSG) that now reaches 60% of all South Africa’s children at a total cost of 3.5% of the national budget. However, the CSG targets children, not their caregivers, requiring mothers to look elsewhere for support and recognition. Crucially, women are building resource networks across families, friends, and communities that enable alternative conditions of debt and dependence in ways increasingly independent of marriage. Via this “kinshipping” labor, or the fostering of relations of dependence, this dissertation argues, women are redefining obligations between men and women, persons and communities, citizens and state. This dissertation contributes to scholarship on kinship and citizenship. It shows how projects of social reproduction constitute contingent economic and political relationships that structure people’s lives far more than any totalizing logic. By providing a robust account for how unequal capital accumulation and political power are brought about through the production and maintenance of kinship, this analysis contributes to longstanding discussions within both feminist and kinship theory about the inseparability of the domestic, economic, and political domains. Further, this research challenges geopolitical paradigms that separate the global north from south. South Africa’s state social assistance programs generate issues mirrored in Canada, the US, and Europe, while at the same time unemployment and the postcolonial legacy link it to challenges faced across the African continent and beyond.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.086
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.018
GPT teacher head0.260
Teacher spread0.242 · 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.

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

Citations0
Published2018
Admission routes1
Has abstractyes

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