Right-Wing Populism and the Securitisation of <i>Laïcité</i> Narratives in French Education Policy
Bibliographic record
Abstract
This article traces the influence of Front National (FN) on the transformation of mainstream French narratives of laïcité since 1989, with particular attention to education policy. It argues that the FN’s right-wing populist rhetoric, particularly the systematic securitisation of Islam as a threat to the ‘people’, facilitated the more widespread reframing of laïcité as a Republican defence mechanism, operating primarily through the school system. Laïcité was increasingly deployed in mainstream discourses and legislative measures to address two interrelated security concerns: the immediate safety of the school by the promotion of neutrality, and the overall wellbeing of the Republic via the prevention of radicalisation. Analysing this process in two specific periods (1989–2004 and 2005–2019), the article demonstrates that the FN’s populist agenda came to be in a symbiotic relationship with the centre-right and centre-left parties. While established parties gradually incorporated the FN’s securitisation narrative in their policymaking, the FN went through a process of ‘normalisation’ by claiming ownership of laïcité as a way to frame its anti-Islam stance in a more acceptable Republican discourse.
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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 | 0.008 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.014 | 0.025 |
| Scholarly communication | 0.011 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.003 |
| 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".