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Enregistrement W4362241803 · doi:10.1353/ces.2023.0006

Middle-Class Nation-Building through Immigration?

2023· article· en· W4362241803 sur OpenAlexvenueaboutno aff
Friederike Alm, Derek J. Robey

Notice bibliographique

RevueCanadian ethnic studies · 2023
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueMigration, Ethnicity, and Economy
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésImmigrationMiddle classCitizenshipPolitical scienceImmigration policySociologyEconomic historyGender studiesHistoryLawPolitics

Résumé

récupéré en direct d'OpenAlex

Middle-Class Nation-Building through Immigration? Friederike Alm (bio) and Derek J. Robey (bio) September 21-23, 2022 Canada Program at the Weatherhead Center for International Affairs, Harvard University The workshop "Middle-class Nation-building through Immigration?" was organized under the auspices of Professor Elke Winter, who held the position of William Lyon Mackenzie King Visiting Professor of Canadian Studies at the Canada Program of the Weatherhead Research Cluster on Comparative Inequality and Inclusion at Harvard University from 2019-2021.1 It took place from September 21 to 23, 2022 at Harvard University.2 There were seven sessions, each reserved for the presentation of one paper, followed by comments and insights by other eminent researchers. The workshop was held to (1) present contributions to the homonymous Special Issue to be published in the Journal of Ethnic and Migration Studies, (2) discuss the notion of middle-class nation-building through immigration as a strategic approach by immigrant-receiving countries, and (3) apply a comparative perspective on this topic by integrating case studies beyond the Canadian case, including the United Kingdom, Germany, and Australia, among others. Major immigrant receiving countries continue to grapple with their approaches to immigration with increasing urgency. The emerging trend, highlighted by Professor Elke Winter, is an immigrant selection strategy that couples immigration and citizenship policies with the maintenance and strengthening of the middle-class. This strategy allows immigrant-receiving countries to reap the benefits of high human capital immigration while also actively engaging in nation-building through immigration. The contributors to the Special Issue have approached the notion of middle-class nation-building through immigration by discerning three underlying [End Page 147] themes along which the workshop was structured: The Race for Talents and Its Discontents, Migration and Neoliberalism, and Social Inequality and Polarizations. The Race for Talents and Its Discontents Session I began with an empirical study of immigrant selection preferences by social class and origin in Québec, Canada. In their research paper, Immigration to Build the Nation, Not to Transform it: Preferences in Immigrants' National Origin and Social Classes in Quebec, authors Antoine Bilodeau and Audrey Gagnon presented an elaborate survey experiment research design that investigates how Quebecers would select potential immigrants if faced with the country of origin and the profession (as the operationalization of social class) of an individual immigration applicant. The results of their research indicate that social class moderates the evaluation gap based on national origin when the immigrant's linguistic ability (fluent French) is kept constant. This indicates a relative degree of openness towards newcomers with the potential to economically contribute to society. Commenters found the methodological design specifications impressive and the empirical analysis compelling, though there were differences in how the results were interpreted. One commenter (Mathieu Lizotte) argues the findings suggest national origin matters relatively little, contradicting extant research that emphasizes how members of a receiving society strongly prefer immigrants who match their own ethnocultural backgrounds. This interpretation invites the authors to consider additional factors that might explain patterns in evaluation of immigrant profiles such as the evaluator's socioeconomic status. Another commenter (Natasha Warikoo) notes the experimental survey design frames immigration decisions in a non-zero-sum manner, which could explain why the evaluation gaps based on national origin and class background are relatively small. The COVID-19 pandemic shifted our collective understanding of skill and essential work, which also affected the discussion on immigrant workers who tend to be overrepresented in essential work sectors like health and care work. This issue was taken up in Yasmeen Abu-Laban's paper, Race for Talent: Immigrants, Refugees, and the Tenacity of a Discourse on Skills in Canada in Session II. The author traces the historical discourse on skills in Canadian immigrant selection, going back to the 1960s. The discursive focus on skills in immigration, she argues, was introduced as a neutral tool to de-center immigrant selection from race-based criteria in the points system. However, she points to the early conflation of skills-based criteria with refugee selection, which was abandoned after international criticism but has now reemerged through the 2018 Economic Mobility and Pathways Project. This persistent conflation of humanitarian...

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 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)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,640
Score d'incertitude au seuil0,847

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,001
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 Opus0,231
Tête enseignante GPT0,397
Écart entre enseignants0,166 · 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

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeQualitatif
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2023
Routes d'admission2
Résumé présentoui

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