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Record W4415583664 · doi:10.51244/ijrsi.2025.121000002

Transnational Experiences and Work Attitudes: A Comparative Analysis of Local and Diasporan Ghanaians

2025· article· W4415583664 on OpenAlexaboutno aff
Jemima N. A. A. Lomotey

Bibliographic record

VenueInternational journal of research and scientific innovation · 2025
Typearticle
Language
FieldSocial Sciences
TopicMigration, Ethnicity, and Economy
Canadian institutionsnot available
Fundersnot available
KeywordsCollectivismEthosWork (physics)Leverage (statistics)IndividualismSurvey data collectionIdentity (music)Diaspora

Abstract

fetched live from OpenAlex

This study examines how transnational identity shapes the work attitudes of Ghanaian professionals both within Ghana and in diaspora communities (specifically the UK, USA, Canada, and Germany). Using a cross-sectional survey design, we compare self-reported work values, career ambitions, and workplace attitudes between locally based Ghanaians (n=150) and diasporan Ghanaians (n=150). Simulated quantitative data analysis reveals significant differences: diasporan Ghanaians scored higher on measures of individualism, career ambition, and job satisfaction, whereas Ghana-based Ghanaians scored higher on collectivism and power-distance acceptance. Independent-samples t-tests confirmed these differences (p<.001). These findings suggest that exposure to Western work cultures and high educational attainment (noted among many Ghanaian migrants[1]) contribute to a more individualistic and achievement-oriented work ethos among the diaspora. By contrast, strong communal traditions and hierarchical norms (reflected in Ghana’s high power-distance index[2]) continue to influence the work attitudes of those in Ghana. The study highlights the complex interplay of cultural background and migration experience, with implications for employers and policymakers seeking to leverage Ghana’s transnational human capital.

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.

How this classification was reachedexpand

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.523
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.007
Science and technology studies0.0010.004
Scholarly communication0.0010.001
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 head0.098
GPT teacher head0.441
Teacher spread0.343 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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