How Do Conceptions of Nationalism Influence Public Attitudes Towards Refugees?
Notice bibliographique
Résumé
This dissertation examines how the conception of national identity influences public opinion on refugees. Classic scholarship on nationalism (see Gellner, Kohn, Greenfeld) has long argued that the conception of nation (i.e., what criteria constitute membership and citizenship) shapes the political behavior of individuals within the national community. Generally, many argue that individuals living in states with less inclusive conceptions of nationalism are less trusting of outsiders. In contrast, those living in a state with a more inclusive conception of nationalism are more trusting of outsiders. However, these claims have largely been based on sweeping generalizations based on historical case studies and have not been empirically tested. On the other hand, there has been a considerable amount of work that has examined attitudes towards refugees, but these studies have focused on individual characteristics that explain attitudes about refugees, such as partisan politics, social class, exposure to refugees, prejudice and fears, and social attitudes on social inclusion and exclusion. However, what has been missing is whether how a nation is conceived affects individual attitudes. Gellner (1983), for instance, argues that as part of the nation-building process, common social attitudes and ideas of “us and them” are ingrained by the national education system to build a national identity. This dissertation examines this longstanding proposition to investigate whether such national conceptions impact attitudes towards refugees. To investigate these effects, I begin by using Cetra and Swenden’s conceptualization of different types of national conceptions: dominant, integrationist, and composite nationalism. The dissertation is built around three empirical chapters. In the first empirical chapter, I hypothesize that individuals living in a composite nationalistic state will be more accepting of refugees compared to individuals living in a dominant nationalistic state. Using a cross-national Survey from the World Value Survey (WVS) (2017-2022), I find that the influence of state conceptions on public attitudes towards refugees is limited, especially compared to individual characteristics. In the second empirical chapter, I argue that individuals exposed to dominant nationalistic views will be less accepting of refugees, while those with composite nationalistic views will be more supportive of refugees. Furthermore, those exposed to dominant conceptions of nationalism will become less accepting of refugees, while those exposed to composite conceptions of nationalism will become more accepting of refugees. Based on my survey experiment of college students in Northern Texas, I conclude that the influence of individual conceptions is a stronger predictor of attitudes toward refugees than exposure to conceptions. In the third empirical chapter, I argue that individuals living in an integrationist nationalistic substate will be less supportive of refugees compared to individuals living in the rest of the composite nationalistic state. Furthermore, individuals who have more of a composite conception of nationalism will be more supportive of refugees, while Individuals who have more of an integrationist conception of nationalism will be less supportive of refugees. Based on my case study from the Focus Canada Survey (2022), much like the second empirical chapter, I find that the influences of individual conceptions on public attitudes towards refugees are a stronger predictor than exposure to conceptions. Overall, the findings of this dissertation suggest that, at least concerning attitudes towards refugees, conceptions of nation and national community have little impact.
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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 | 0,006 | 0,020 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,004 |
| Communication savante | 0,005 | 0,004 |
| Science ouverte | 0,001 | 0,003 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,006 | 0,001 |
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 ».