Displacement in “actually existing” racial neoliberalism: refugee governance in Paris
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
3.5 million people currently live without adequate housing in France with some 10 million others in sub-standard accommodations without secure and affordable rental tenure. In Paris, homelessness has increased a staggering 84 percent since 2005 due to cuts in social service expenditure and the downloading of poverty management onto cities and civil society organisations. Since 2015, the European Union has seen a large influx of refugees from protracted conflicts in the Middle East and North Africa—commonly, and problematically, referred to as the European migration crisis. Although France has amongst the highest rates of refugee application rejections in Western Europe, Paris is increasingly becoming a hotspot for displaced people who are fleeing improper treatment in frontier states. The Paris case, as suggested here, illustrates ‘actually existing’ racial neoliberalism pointing to both the material and ideological features of refugee marginalization. The purpose of this article is two-fold: First, it highlights the various issues of political and shelter-based survival for urban refugees—an aspect understudied especially in cities in the global North. Second, the article aims to overlay pre-existing crises of homelessness, inadequate housing, and poverty with the racialization of refugees within the European migration crisis.
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.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it