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Record W4380081986 · doi:10.1080/00083968.2023.2194663

The double return experience: rationale for return from Canada to Ghana and Ghana to Canada

2023· article· en· W4380081986 on OpenAlexaffvenueabout
Emmanuel Kyeremeh, Senanu Kwasi Kutor, Eunice Annan-Aggrey, Ismahan Yusuf, Godwin Arku

Bibliographic record

VenueCanadian Journal of African Studies / Revue canadienne des études africaines · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsWestern UniversityToronto Metropolitan University
Fundersnot available
KeywordsHomelandPatriotismEconomic growthSociologyPolitical scienceDevelopment economicsSocioeconomicsEconomicsPolitics

Abstract

fetched live from OpenAlex

What motivates Ghanaian migrants who return from Canada, with the intention to settle permanently in Ghana, to move back to Canada? This study answers this question by exploring the lived experiences of Ghanaian migrants involved in double return migration. Using semi-structured interviews with Ghanaian migrants residing in the Greater Toronto Area, the paper demonstrates the complexity of a double return (return to Ghana and second return to Canada). First, participants identified patriotism, attachment to their homeland, opportunity to contribute to the socio-economic development of their homeland, and employment challenges in Canada as reasons for returning home. Second, participants explained that poor business environment, children’s integration challenges, and social networks and familial ties in the receiving society informed their decision to return to Canada. The results demonstrate a need for sustainable reintegration policies in the receiving and sending societies to enable migrants and returnees to successfully integrate in both contexts.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.214
Threshold uncertainty score0.432

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0210.014
Scholarly communication0.0050.003
Open science0.0020.006
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0070.000

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 head0.039
GPT teacher head0.272
Teacher spread0.234 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations3
Published2023
Admission routes3
Has abstractyes

Explore more

Same venueCanadian Journal of African Studies / Revue canadienne des études africainesSame topicMigration and Labor DynamicsFrench-language works237,207