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Record W2083205868 · doi:10.1002/job.705

Crossing national boundaries: A typology of qualified immigrants' career orientations

2010· article· en· W2083205868 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Organizational Behavior · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education and Employability
Canadian institutionsYork University
Fundersnot available
KeywordsTypologyProactivityPsychologyInterdependencePerspective (graphical)Identity (music)ImmigrationSocial psychologySalience (neuroscience)Career developmentSociologyPolitical scienceSocial science

Abstract

fetched live from OpenAlex

Abstract This qualitative study examines objective–subjective career interdependencies within a sample of 45 qualified immigrants (QIs) in Canada, Spain and France. The particular challenges in this type of self‐initiated international careers arise from the power of institutions and local gatekeepers, the lack of recognition for QIs' foreign career capital, and the need for proactivity. Resulting from primary data analysis, we identify six major themes in QIs' subjective interpretations of objective barriers: Maintaining motivation, managing identity, developing new credentials, developing local know‐how, building a new social network and evaluating career success. Secondary data analysis distinguishes three QI career orientations—embracing, adaptive and resisting orientations—with each portraying distinct patterns of motivation, identity and coping. This study extends the boundaryless career perspective by providing a more fine‐grained understanding of how qualified migrants manage both physical and psychological mobility during self‐initiated international career transitions. With regards to the interdependence between objective and subjective career aspects, it illustrates the importance of avoiding preference to one side at the neglect of the other, or treating the two sides as independent of one another. Practical implications are proposed for career management efforts and receiving economies. Copyright © 2010 John Wiley & Sons, Ltd.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.135
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.040
GPT teacher head0.389
Teacher spread0.349 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it