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Record W4410633918 · doi:10.1080/19436149.2025.2504248

‘Stretching’ Social Reproduction: (Re)Conceptualizing Informal and Gendered Labor in Egypt under Global Capitalism

2025· article· en· W4410633918 on OpenAlexaff
Laila Nazem Mourad

Bibliographic record

VenueMiddle East Critique · 2025
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHousing, Finance, and Neoliberalism
Canadian institutionsYork University
Fundersnot available
KeywordsCapitalismReproductionSocial reproductionGlobal SouthSociologyPolitical economyPolitical scienceGender studiesEconomicsPoliticsSocial capitalSocial scienceEconomic geographyEcologyBiologyLaw

Abstract

fetched live from OpenAlex

In an ever-growing digital economy, gig work increasingly blurs the line between formal and informal labor. Global development policies frequently champion market-driven approaches to economic progress and gender equity. However, these neoliberal discourses often disregard the gendered dynamics of global capitalism, which inherently exploit and undervalue women’s productive and social reproductive labor. Inspired by critical feminist scholarship, this paper repoliticizes social reproduction by integrating everyday life into macrolevel economic and political analysis. It proposes ‘stretching’ social reproduction as a framework for critically analyzing global capitalism, centering the lived experiences, knowledges, and relationalities of women in the Global South – groups that are often marginalized and invisibilized in neoliberal development discourses. Using data from fieldwork with 25 women gig workers in Egypt, the article examines how women learn and transfer skills, overcome material barriers and access resources, and navigate family and societal gender norms within and beyond the household. By doing so, they were disrupting gender and class hierarchies embedded in capitalism, which serve to undermine traditional knowledges, exploit communities, and separate work from everyday life. Moreover, they were (re)defining their agency as knowledge producers, active participants in economic development, and cultivators of collective community well-being in an emerging digital economy.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.780
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.043
GPT teacher head0.258
Teacher spread0.214 · 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 designTheoretical or conceptual
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

Citations1
Published2025
Admission routes1
Has abstractyes

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