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Enregistrement W3166382957 · doi:10.1177/23315024211035591

Making Citizenship an Organizing Principle of the US Immigration System: An Analysis of How and Why to Broaden Access to Permanent Residence and Naturalization for New Americans

2021· article· en· W3166382957 sur OpenAlex

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Notice bibliographique

RevueJournal on Migration and Human Security · 2021
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueMigration and Labor Dynamics
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésNaturalizationCitizenshipResidenceImmigrationLegislatureImmigration reformAdministration (probate law)Immigration lawPolitical scienceSociologyDemographic economicsPoliticsLawEconomicsDemography

Résumé

récupéré en direct d'OpenAlex

This paper proposes that the United States treat naturalization not as the culmination of a long and uncertain individual process, but as an organizing principle of the US immigration system and its expectation for new Americans. It comes at a historic inflection point, following the chaotic departure of one of the most nativist administrations in US history and in the early months of a new administration whose executive orders, administrative actions, and legislative proposals augur a different view of immigrants and immigration. The paper examines two main ways that the Biden–Harris administration can realize its immigration, naturalization and integration goals: i.e., by expanding access to permanent residence and by increasing naturalization numbers and rates. First, it proposes administrative and, to a lesser degree, legislative measures that would expand the pool of eligible-to-naturalize immigrants. Second, it identifies three underlying factors—financial resources, English language proficiency, and education—that strongly influence naturalization rates. These factors must be addressed, in large part, outside of and prior to the naturalization process. In addition, it provides detailed estimates of populations with large eligible-to-naturalize numbers, populations that naturalize at low rates, and populations with increasing naturalization rates. It argues that the administration's immigration strategy should prioritize all three groups for naturalization. The paper endorses the provisions of the US Citizenship Act that would place undocumented and temporary residents on a path to permanent residence and citizenship, would reduce family- and employment-based visa backlogs, and would eliminate disincentives and barriers to permanent residence. It supports the Biden-Harris administration's early executive actions and proposes additional measures to increase access to permanent residence and naturalization. It also endorses and seeks to inform the administration's plan to improve and expedite the naturalization process and to promote naturalization. The paper's major findings regarding the eligible-to-naturalize population include the following: In 2019, about 74 percent, or 23.1 million, of the 31.2 million immigrants (that were eligible for naturalization) had naturalized. Three states—Indiana, Arizona, and Texas—had naturalization rates of 67 percent, well below the national average of 74 percent. Fresno, California had the lowest naturalization rate (58 percent) of the 25 metropolitan (metro) areas with the largest eligible-to-naturalize populations, followed by Phoenix at 66 percent and San Antonio and Austin at 67 percent. Four cities in California had rates of 52–58 percent—Salinas, Bakersfield, Fresno, and Santa Maria-Santa Barbara. McAllen, Laredo, and Brownsville had the lowest naturalization rates in Texas. Immigrants from Japan had the lowest naturalization rate (47 percent) by country of origin, followed by four countries in the 60–63 percent range—Mexico, Canada, Honduras, and the United Kingdom. Guatemala and El Salvador each had rates of 67 percent. Median household income was $25,800, or 27 percent, higher for the naturalized population, compared to the population that had not naturalized (after an average of 23 years in the United States for both groups). In the past 10 years, naturalization rates for China and India have fallen, and rates for Mexico and Central America have increased (keeping duration of residence constant). In short, the paper provides a roadmap of policy measures to expand the eligible-to-naturalize population, and the factors and populations that the Biden–Harris administration should prioritize to increase naturalization rates, as a prerequisite to the full integration and participation of immigrants, their families, and their descendants in the nation's life.

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.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,611
Score d'incertitude au seuil0,808

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0010,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,056
Tête enseignante GPT0,377
Écart entre enseignants0,321 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle