I am Going Home: How Kenyan Migrants Intentions to Return Home Affect their Transnational Engagements
Bibliographic record
Abstract
The aim of this study is to examine how Kenyan migrants intentions to return home influence their participation in transnational activities like sending remittances, investments and return visits. In this study, our focus is on Kenyans living in the UK, USA, Canada and Ghana. A concurrent mixed method approach was used in data collection and analysis. This included a web survey of 212 respondents, 21 in-depth interviews and 5 focus group discussions. Most (89%) of the respondents intended to return to Kenya before retirement but difficulty in finding well-paying employment, insecurity, corruption, citizenship issues and reintegration uncertainties were seen as obstacles to return. Incentives for return included a better economic and political environment, improved security, good governance, employment and investment opportunities. Overall, the study revealed that migrants intentions to return home had an influence on their participation in remittance transfers, investments and return visits. Cross tabulations, odd ratios and chi square logistic regression analyses showed that intentions to return had an influence on migrants investments in entrepreneurial ventures and financial instruments, as well as the frequency of return visits to Kenya
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".