Roma migration to and from Canada: The Czech, Hungarian and Slovak case
Notice bibliographique
Résumé
Most research initiatives on Roma migration focus on Roma migrating from non-EU to EU or EU-to-EU countries. This research aimed to look at another sub-component of the migration process: transatlantic, Canadian migration from the Czech Republic, Hungary and Slovakia. The migration and asylum seeking of Central Eastern European Roma to Canada started in the 1990s when several thousands of Roma moved to Canada. The collection of papers presented here looks at various aspects of Roma migration to and from Canada. Our premise was that 'Canadian Roma migration' should be understood as a process motivated by a mixed set of factors and, from an analytical point of view, it should be studied as neither refugee nor labor migration but as a compound of both. The first two studies in the volume investigate the legal and the political components to the push and pull of Roma migration, while the rest of the papers are based on qualitative, empirical studies that were conducted in three CEE countries – the Czech Republic, Hungary, and Slovakia – as well as in Canada. The country case studies were designed to consider Roma migration from a micro perspective using the same methodology and the same conceptual framework. Researchers in the three countries did fieldwork in villages and towns in which there had been a significant out-migration of Roma, presently or in the past. The factors impelling migration were social, political as well as economic: deteriorating interethnic relations, the rise and spread of violence as well as political racism and fear from racist attacks, deprivation and worsening of living conditions for the poorest, and stigmatized ethnicity, the consequences of which Roma have to face on a daily bases (employment and educational discrimination, verbal and physical racial violence.). As a general pattern, we could distinguish the pioneers from the laggards in the migration process. In all three cases, pioneers were migrants who were from wealthier families and many had earlier migration experiences; they were the ones who would leave, come back, and some would try to leave again. The latter – the laggards – were often the failed migrants, those whose return left them in a more desperate situation than they had been in before leaving.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,002 | 0,006 |
| Études des sciences et des technologies | 0,017 | 0,004 |
| Communication savante | 0,005 | 0,001 |
| Science ouverte | 0,001 | 0,004 |
| Intégrité de la recherche | 0,002 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».