The Persistence of Participation: An Analysis of American Expatriate Involvement in US Campaigns
Notice bibliographique
Résumé
In this project, I will draw from four survey datasets: two original online surveys of Americans living in Canada, fielded during the 2020 and 2022 US campaigns (Ronald Rapoport is co-PI); and the 2020 / 2022 ANES cross-sectional surveys. The focus of the study is on modeling campaign involvement. The literature on campaign involvement in the US has long recognized three major types of factors that shape participation: attitudes (especially interest in politics, efficacy, strength of partisan identification, strength of ideological preferences, and differential assessments of the major political figures in the campaign); political resources and demographic background traits (especially education level, gender, age, race/ethnicity); and mobilization (especially contacts with candidate and party organizations). These are the core pillars of classic participation models (e.g., Verba et al, Rosenstone et al., Campbell et al.). In this investigation, I will fit comparable regression models within the four datasets. To what extent are the findings from the Canada-based American emigrant samples comparable to those from the ANES? My expectation is that the factors underlying involvement are sufficiently persistent that they will replicate across borders. I.e., the same factors that condition campaign involvement in the US case will be evident in the Canadian samples, to approximately the same degree. Substantively, this would underscore the significance of long-term socialization forces and habits (H1). Alternatively, when documenting hypotheses below, I also allow for expatriate transnational participation to depend more heavily on attitudes, resources, demographic background traits, and contacts with mobilizers given the lower prominence and salience of American electoral politics in their country of residence (H1a). In follow up models, I will then add to the Canadian models a number of migration-related predictors to examine how incorporation into another society and political system shapes transnational participation. These predictors are: time spent in Canada; whether or not the respondent is planning to return to the US; degree of identification as "Canadian"; and involvement in a Canadian political party. Based on prior research from the literature on transnational migration, I expect that these migration-related variables will have only modest effects on US campaign involvement; i.e., there is no major tension between social and political incorporation as an "immigrant" and involvement as an "emigrant." (H2). Alternatively, I also leave open the possibility that migration-related variables may condition the effects of attitudes, resources, demographic profile, and mobilizing contacts such that these predictors will matter more for emigrants who are less incorporated into the receiving country. (H3)
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,005 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,002 | 0,024 |
| Études des sciences et des technologies | 0,000 | 0,004 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,006 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 tête enseignante, 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 ».