Intégrer pour exister ? Nationalisme sous-étatique et intégration des immigrés en Flandre et au Québec
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
My PhD dissertation (Sciences Po Paris & Université Saint-Louis) considers the dilemma generated by immigration and diversity for political elites in two culturally and linguistic distinct sub-national communities: Flanders (Belgium) and Quebec (Canada). For such communities, immigrant integration represents both opportunities and challenges. Immigration might increase the relative demographic strength of the sub-national community yet, it might also weaken its cultural or linguistic cohesion. Focusing on the 1999-2014 timeframe and using discursive institutionalism, I ask how subnational elites respond to this dilemma. Using discourse analysis, I identify the position of members of regional parliaments and their rhetoric on four dimensions of immigrant integration (institutional, demographic, linguistic, and cultural). Contrary to other researches that have focused only on sub-nationalist and regionalist party positions (SNRP), my focus on political discourse and all elites allows me to show how ideas circulate and evolve through legislatures. My results run contrary to some expectations from immigration studies and federalism theory. I show that key arguments are shared between political elites when it comes to the linguistic, demographic and cultural dimensions of immigrant integration. Nevertheless and independently from the conceptions of integration put forward, I show that clear divergences remain when it comes to federal-subnational institutional arrangements for immigrant integration.
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 | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.020 | 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