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Record W4318990585 · doi:10.1108/jgm-09-2022-0051

Being an “outsider in”: skilled migrants' career strategies in local organizations

2023· article· en· W4318990585 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.

Bibliographic record

VenueJournal of Global Mobility The Home of Expatriate Management Research · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicHuman Resource and Talent Management
Canadian institutionsYork University
Fundersnot available
KeywordsTypologyCareer developmentPublic relationsPerspective (graphical)Context (archaeology)SociologyQualitative researchCareer PathwaysPolitical sciencePedagogyMedical educationSocial scienceGeography

Abstract

fetched live from OpenAlex

Purpose Although the literature on the careers of skilled migrants is growing, relatively little is known about their experiences inside host country organizations. This article is a replication and an extension of a study by Zikic et al. (2010) on career challenges and coping strategies of skilled migrants. In contrast to the replicated study, where the focus was on the unemployed pool of talented migrants, in this study, the authors look at the career experiences of those who are already employed. Similar to the study of Zikic et al. (2010), the authors seek to explore how migrants understand their careers and what approaches they use to enact career opportunities from the perspective of “insiders” in local organizations. Design/methodology/approach The authors used a qualitative explorative approach. Based on 24 in-depth interviews with highly qualified specialists, who were hired for positions in Luxembourg corresponding to their professional profiles, the authors explore what challenges they face at the workplace and how they tackle them. Findings This research not only replicates the study of Zikic et al. (2010) but also extends the authors’ knowledge of the careers of skilled migrants in the context of local organizations. By focusing on employed skilled migrants, the authors open a “black box” of their career challenges and strategies and extend an earlier career typology (Zikic et al., 2010) into what happens within local organizations. In particular, this study identifies two major challenges that skilled migrants experience, namely, “trying to fit in” and “managing career mismatch”. Then, it shows three unique strategies that skilled migrants use to manage their careers. This allows us to cluster skilled migrants into three categories that the authors conceptualized, namely “workhorses”, “career rebels” and “career conformists”. Originality/value This study contributes to the literature on the careers of skilled migrants by theorizing the experiences of migrant careers after organizational entry. It also contributes to the talent management literature by providing nuanced insights into the challenges, strategies and profiles that this global talent has.

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)0.007
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.129
Threshold uncertainty score0.668

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.006
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.037
GPT teacher head0.325
Teacher spread0.288 · 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