Local Practices vs National Models of Integration? The Management of Ethno-religious Diversity in an Urban Context
Bibliographic record
Abstract
This article examines the ways in which ethnic and cultural diversity is concretely managed in the city of Marseille, a metropolitan area located in France, a country that academic literature defines as assimilationist. Based on a series of 26 semi-structured interviews and on the analysis of municipal archives, it reveals that ethnic, cultural and religious organizations are essential actors in local political life in Marseille. On one hand, in order to manage their culturally heterogeneous city, municipal officials rely on alliances with community leaders to maintain legitimacy among the local population. On the other hand, community leaders demand symbolic gestures of cultural recognition from the mayor in exchange for their political support. This paper, inspired by conceptual tools developed by Pierre Bourdieu, builds an innovative theoretical framework for analysis of the ‘social field of multiculturalism.’ In the process, it sheds light on strategies of negotiation and competition among different local actors in the daily management of diversity.
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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 | 0.003 | 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 | 0.006 | 0.014 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".