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Record W2516880559 · doi:10.1002/cdq.12060

Career Development of Chinese Canadian Professional Immigrants

2016· article· en· W2516880559 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

VenueThe Career Development Quarterly · 2016
Typearticle
Languageen
FieldHealth Professions
TopicGlobal Health Workforce Issues
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsImmigrationProsperityCareer developmentVocational educationProfessional developmentPrejudice (legal term)SociologyPolitical scienceContext (archaeology)Public relationsGender studiesEconomic growthPsychologyPedagogySocial psychologyGeography

Abstract

fetched live from OpenAlex

Chinese professional immigrants make up the 2nd largest visible minority group in Canada. Their successful resettlement in the host country is inextricably tied to the prosperity and success of the general Canadian society that depends heavily on its immigration practice for the country's development and growth. However, there is a dearth of literature and research on this particular population, especially in the areas of career development and vocational psychology based on the unique cultural context of Canada. To address the pivotal career needs of Chinese professional immigrants, this article identifies and discusses 6 prominent career‐related barriers they face in the resettlement process: migration‐related stressors; language proficiency; cultural nuances and knowledge; discrimination and prejudice; foreign‐earned experiences, education, and credentials not recognized; and family separation and fragmentation. Strategies to tackle these career development barriers are proposed from a life‐career integrated perspective, alongside ideas and strategies for effective career interventions.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.450
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.038
GPT teacher head0.347
Teacher spread0.308 · 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