“We are all republicans”: Political Articulation and the Production of Nationhood in France's Face Veil Debate
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
Abstract In July 2010, following a year-long nationwide debate over Islamic veiling, the French government passed a law prohibiting facial coverings in all public spaces. Prior research attributes this and other restrictive laws to France's republican secular tradition. This article takes a different approach. Building on literature that sees electoral politics as a site for articulating, rather than merely reflecting, social identities, I argue that the 2010 ban arose in significant part out of political parties’ struggles to demarcate the boundaries of legitimate politics in the face of an ultra-right electoral threat. Specifically, I show that in seeking to prevent the ultra-right National Front party from monopolizing the religious signs issue, France's major right and left parties agreed to portray republicanism as requiring the exclusion of face veiling from public space. Because it was forged in conflict, however, the consensus thus generated is highly fractured and unstable. It conceals ongoing conflict, both between and within political parties, over the precise meaning(s) of French republican nationhood. The findings thus underscore the relationship between boundary-drawing in the political sphere and the process of demarcating the cultural and political boundaries of nationhood in contexts of immigrant diversity.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.006 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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