Education—Migration Nexus: Understanding Youth Migration in Southern Ethiopia
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.
Bibliographic record
Abstract
The purpose of this study is to unravel the education–migration nexus in the African context, specifically Ethiopia. It examines why young people terminate their education to migrate out of the country. The study applies de Haas’ aspiration—capability framework and Turner’s macro, meso and micro sociology as its analytical lenses. It offers unique insight into the terrain of youth migration in southern Ethiopia based on empirical data obtained from two rural sub-districts known for high levels of youth out-migration. Data are generated based on interviews with would-be migrant youth, parents, teachers and school principals. The findings reveal that education has both direct and indirect impacts on youth migration. On the other hand, the results indicate that though terminating school could have negative ramifications on human capital accumulation at micro and macro levels, migration can positively impact households and local communities through investments made by individual migrants, migrant-returnees, and remittance-receiving households in small businesses or community development projects, which included better resourced schools.
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 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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 it