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Record W3135631846 · doi:10.3390/businesses1010001

Cultural Intelligence of Expatriate Health Workers in an Inuit Context: An Exploration of Managerial Competency Profiles

2021· article· en· W3135631846 on OpenAlex
Geneviève Morin, David Talbot

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

VenueBusinesses · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Competency in Health Care
Canadian institutionsÉcole Nationale d'Administration Publique
Fundersnot available
KeywordsExpatriateCultural intelligenceContext (archaeology)Cultural diversityTest (biology)Health careDiversity (politics)PsychologyKnowledge managementCultural competencePublic relationsEmotional intelligenceSociologySocial psychologyPolitical sciencePedagogyComputer scienceGeography

Abstract

fetched live from OpenAlex

Developing cultural diversity skills is a major ethical challenge for organizations operating within marginalized communities. This study defines cultural intelligence profiles us a two-step approach. In the first step, managers (n = 31) are invited to complete a Cultural Intelligence Quotient Assessment Test to identify and describe different managerial profiles. In the second step, semi-structured interviews are conducted (n = 17) to better understand the characteristics of the managerial profiles developed in phase one. The findings indicate that there are three typical managerial profiles: (1) The opportunist, (2) the modern missionary, and (3) the seasoned sage. These managerial profiles highlight the emerging dynamics of the cultural intelligence model and provide a better understanding of the career trajectories of managers in the healthcare sector. The results also have important managerial implications, particularly concerning strategies for training managers working with marginalized populations.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.299
Threshold uncertainty score0.982

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0000.000
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 head0.124
GPT teacher head0.403
Teacher spread0.279 · 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