Transitional Labor
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Transitional Labor

Sun Ping

3.8520 learners

For over a decade, China’s platform economy has exploded, turning food delivery riders from a niche gig into the face of digital precarious work. While U.S. platforms like Grubhub kicked off the global food delivery boom in 2004, China’s market has since grown into the world’s largest, amplifying labor tensions that resonate across gig economies worldwide. *Transitional Labor* dives into the paradox of these riders: most join seeing their jobs as temporary stepping stones to better opportunities, yet many end up trapped in this "permanent transition" for years. Drawing on six years of on-the-ground fieldwork across Beijing, Shanghai, and other cities, Sun Ping unpacks how platform algorithms, layered outsourcing models, and capital logic create a system where riders have the illusion of freedom but are tightly controlled. The book explores riders’ hidden resistance strategies (like outsmarting algorithms), the unique struggles of female riders balancing work and family, and challenges the binary "control vs. resistance" framework in gig work research—highlighting riders’ digital resilience and the urgent need for fairer labor policies.

Transitional LaborFood Delivery RidersPrecarious WorkPlatform Gig EconomyAlgorithm Control
Concept

Gamified Labor Mechanism

Platforms design tiered rider ranks, daily/weekly delivery challenges and bonus rewards to turn work into a game, pushing riders to voluntarily extend working hours and chase more orders for higher income.

Labor IncentiveAlgorithm Control
Insight

Platforms Create Transitional Labor

Platforms use multi-layer outsourcing, algorithm control and profit chasing logic, deliberately turn riders' expectation of doing a temporary transitional job into a permanent unstable labor norm that benefits capital expansion.

Platform Capitalismlabor exploitation
Golden Sentence

Trapped In The System

The faster riders run, the shorter the delivery time the algorithm sets, pushing them to take greater safety risks to avoid penalty.

Algorithm ControlFood Delivery
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