Citizen‐<i>rentier</i>‐ship: Delivering the Undocumented to Labour Platforms in Paris
Bibliographic record
Abstract
Abstract Platform food delivery workers have been under much scrutiny over the last couple of years. Undocumented riders, and their recent strikes and protests in France, have not received as much attention as other issues regarding platform labour (contract work, algorithmic control, surveillance). This article follows fieldwork conducted in Paris and interviews with food couriers. Building on work by critical urban studies, migration studies and science and technology studies, this research puts forward citizen‐rentier‐ship, a tool to understand how multiple parties profit from aspects of precarious status. Interviews with undocumented couriers who worked in Paris highlight how the subletting of accounts, the complicit role of the state, the hypocrisy of employers and the interdependency with the “regularised” put undocumented couriers in hyper‐precarious situations. This article concludes that labour laws, misclassification and migration policies are at the centre of the struggles of Paris’ delivery workers and that they need changes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.007 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".