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Record W3049567827 · doi:10.1177/0018726720949630

Identity work in refugee workforce integration: The role of newcomer support organizations

2020· article· en· W3049567827 on OpenAlex
Luciara Nardon, Hui Zhang, Betina Szkudlarek, Daniel Gulanowski

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.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueHuman Relations · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Student and Expatriate Challenges
Canadian institutionsCarleton University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsSensemakingRefugeeWorkforceIdentity (music)Public relationsSociologyPsychological resilienceWork (physics)Political sciencePsychologySocial psychology

Abstract

fetched live from OpenAlex

How does professional employment support provided by newcomer support organizations (NSOs) influence highly-skilled refugees’ professional identities and workforce integration? To answer this question, we draw on interviews with 25 managers and staff of NSOs in Canada and 11 recently arrived, highly-skilled refugees. We contribute to the literature on refugee workforce integration by shedding light on the dynamic process of employment support in which NSOs engage in sensegiving practices and influence refugees’ understanding of career options, assessment of opportunities, and their professional identity responses. We found that NSOs attempted to manage refugees’ expectations of career opportunities while fostering hope for the future and that refugees reacted to NSOs’ sensegiving practices by resisting expectation management messages, recrafting a new identity, or bracketing the present as transitory. We highlight the role of external agents in sensemaking and identity work by exploring work role transitions caused by forced migration. Furthermore, we uncover the dynamics of power and contextual constraints that influence sensegiving interactions. From a practical point of view, we argue that in the absence of quality employment opportunities, the reliance on refugees’ resilience and their motivation for long-term professional integration may further marginalize them.

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)0.000
metaresearch head score (Gemma)0.000
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.679
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.048
GPT teacher head0.346
Teacher spread0.298 · 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