Migration in Sub-State Territories with Historical-Linguistic Minorities: Main Challenges and New Perspectives
Bibliographic record
Abstract
Abstract Migration is an important reality for many sub-national autonomous territories where traditional-historical groups (so-called ‘old minorities’) live such as Flanders, Catalonia, South Tyrol, Scotland, Basque Country, and Quebec. Some of these territories have attracted migrants for decades, while others have only recently experienced significant migration inflow. The presence of old minorities brings complexities to the management of migration issues. Indeed, it is acknowledged that the relationship between ‘old’ communities and the ‘new’ minority groups originating from migration (so-called ‘new minorities’) can be rather complicated. On the one hand, interests and needs of historical groups can be in contrast with those of the migrant population. On the other hand, the presence of new minorities can interfere with the relationship between the old minorities and the majority groups at the state level and also with the relationship between old minorities and the central state as well as with the policies enacted to protect the diversity of traditional groups and the way old minorities understand and define themselves. The present lecture analyses whether it is possible to reconcile the claims of historical minorities and of new groups originating from migration and whether policies that accommodate traditional minorities and migrants are allies in the pursuit of a pluralist and tolerant society.
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How this classification was reachedexpand
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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".