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Is the segmented skill divide perspective useful in migration studies? Evidence from the Portuguese case

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dc.contributor.authorMarques, José Carlos Laranjo
dc.contributor.authorCandeias, Pedro
dc.contributor.authorGois, Pedro
dc.contributor.authorPeixoto, João
dc.date.accessioned2020-03-05T16:25:53Z
dc.date.available2020-03-05T16:25:53Z
dc.date.issued2020
dc.description© Springer Nature B.V. 2020pt_PT
dc.description.abstractBoundaries among social scientists continuously challenge the scope for obtaining broader reaching views. This constitutes the case for migration studies, generally perceived as interdisciplinary and correspondingly gathering contributions from many social scientists with diverse disciplinary background. For example, many practical and institutional boundaries separate those studying so-called voluntary and forced migration. The same sub-disciplinary division also applies to the study of highly skilled migration. Even when treated as part of overall migration, highly skilled migrants are viewed as so specific that their study must not be mixed in with other migrants. The main aim of this paper involves discussing the relevance of this divide between high and less skilled emigration, trying to understand which aspects place them in the same framework and which facets separate them out into isolated categories. Rather than discussing the issue in general, our purpose is to put forward evidence about sociodemographic profiles, migration strategies, and the integration processes of high and less skilled emigrants moving in the same context in order to systematically compare these groups. The context chosen for such a comparison is Portugal at the beginning of the new millennium: a country that witnessed a strong upsurge in emigration over recent decades in which high skilled and less skilled emigrants both coexisted. The data analysed in this article results from a large-scale survey applied to Portuguese individuals who left the country in the new century.pt_PT
dc.description.sponsorshipData was collected within the framework of the research project “Back to the Future: New Emigration and the Portuguese Society (REMIGR)”, funded by the Portuguese national agency for science, research and technology (FCT), under Grant PTDC/ATP-DEM/5152/2012pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationInt. Migration & Integration (2020)pt_PT
dc.identifier.doi10.1007/s12134-020-00757-2pt_PT
dc.identifier.eissn1874-6365
dc.identifier.issn1488-3473
dc.identifier.urihttp://hdl.handle.net/10451/42187
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSpringer Naturept_PT
dc.relation.publisherversionhttps://www.springer.com/journal/12134pt_PT
dc.subjectHighly skilled migrationpt_PT
dc.subjectLess skilled migrationpt_PT
dc.subjectPortuguese emigrationpt_PT
dc.titleIs the segmented skill divide perspective useful in migration studies? Evidence from the Portuguese casept_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/PTDC%2FATP-DEM%2F5152%2F2012/PT
oaire.citation.titleJournal of International Migration and Integrationpt_PT
oaire.fundingStream3599-PPCDT
person.familyNameMarques
person.familyNamecandeias
person.familyNameManuel Rodrigues da Silva Madeira e Góis
person.familyNamePeixoto
person.givenNameJosé Carlos
person.givenNamepedro
person.givenNamePedro
person.givenNameJoão
person.identifier1436669
person.identifier.ciencia-idB916-8830-3397
person.identifier.ciencia-id3011-E8CE-F5E3
person.identifier.ciencia-id1611-E313-BD56
person.identifier.ciencia-id5F1E-3CF0-B443
person.identifier.orcid0000-0002-4690-5943
person.identifier.orcid0000-0001-7582-5128
person.identifier.orcid0000-0002-5217-0285
person.identifier.orcid0000-0001-8321-3420
person.identifier.scopus-author-id7003854820
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsrestrictedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication27300df4-1c4f-459d-84ad-70caa58ba35d
relation.isAuthorOfPublication09d0324a-eb04-4620-b66c-dc9582037806
relation.isAuthorOfPublication40a42b48-6b7b-4376-8636-b32128a004ac
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