The “Daily Digital”: (Re)imagining Technology in Home-Based Women’s Gig Work in Egypt.
Bibliographic record
Abstract
The gig economy is (re)shaping work and revolutionising the use of technology in everyday life. In Egypt, where more than 50 per cent of women’s enterprises are home-based, digital tools such as smartphones and social media are integral to managing informal labour practices. This paper challenges neoliberal development narratives by introducing the Daily Digital framework, a decolonial feminist lens that centres the relational and experiential dimensions of technology use. Unlike existing frameworks, it repositions the household as a site of innovation and economic agency, emphasising women’s creative strategies for (re)imagining technology and integrating it into their daily lives and work. Based on fieldwork conducted in Egypt in 2022 and 2023 with 25 home-based online food vendors, I demonstrate how women gig workers use their socially reproductive knowledges and relationalities to transform technology into a versatile tool for navigating and overcoming structural, material and social barriers, while (re)claiming and redefining their agency and mobility. This research contributes to feminist and decolonial scholarship by centring the lived experiences of women in informal economies and providing a new lens to theorise the intersections of technology, gender and labour. The Daily Digital framework offers valuable insights for (re)imagining gig work and advancing research and policy in the Global South.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".