Bibliographic record
Abstract
The issue of ethnicity has always been a controversial one, especially in France — whether on the mainland in relation to regional minorities or migrants, or in the French overseas territories. As a former colonial Empire and an epitome of secular republicanism, France resists use of any ethnic identification, including in the academic world and anthropology. This topical collection reconsiders this position and takes stock of the “ethnic situations” in relation to the new postcolonial and post-socialist historical conditions, the generalisation of the global market, the accelerated movement of goods and people, as well as the intensification of the diasporic phenomenon. The various contributions provide insights into specific ethnic affiliations, seen from the inside, in diverse ethnographic fields related to migration to France, from Senegal, Morocco, Comoros, Asia, or within the framework of particular French institutions.This editorial seeks to give space to consideration of the issue of ethnicity, emancipating it from its current national suppression in France, by connecting it to other currents of thought developed by non-French, French-speaking sociologists, such as Danielle Juteau, and English-speaking sociologists, in particular Jean and John Comaroff, who have addressed this topical collection in diverse national contexts (Quebec, United States, South Africa, China, etc.). The authors of this editorial and coordinator of this topical collection emphasise that ethnic affiliations show a real capacity of adaptation, paradoxically using it as a means of integration into the French urban economy and republican landscape, as a way to promote their form of citizenship. They show how this sociological category can be interpreted by individuals in a rigid way, or with openness to other ethnic markers, thus demonstrating “transethnic competence”. They conclude that, far from being an archaism, ethnic dynamics are always at work in contexts dominated by national representations. Moreover, ethnic identification, one of the modalities of perception of otherness, which should not be limited to minorities as it also concerns majority groups, deserves a specific approach, distinct from race and discrimination. This editorial and topical collection of the Revue Européenne des Migrations Internationales seek to contribute, from the perspective of the case of France to the general and international reflection on the processes of ethnic differentiation in a globalised world.ethnic, ethnicity, ethno-nations, minorities, majorities, migration, diasporas, circulation, imagination, market, globalisation, associations, hospital, religion, race, Asians, Moroccans, France, Senegal, Mayotte, Comoros
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.
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 | 0.007 | 0.035 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.007 | 0.004 |
| Scholarly communication | 0.013 | 0.007 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.012 | 0.014 |
| Insufficient payload (model declined to judge) | 0.063 | 0.035 |
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".