The Impact of Media on Mobility: The Case of Ethiopian Migrants in the West
Bibliographic record
Abstract
As a recent phenomenon, increasing number of Ethiopians are leaving their country and trying to reach the West. The pull and push factors range from expecting better opportunities in the destination to fleeing political persecution. Combining survey data from Ethiopian Diaspora with information from international and national migration organizations, this study explores which media play key roles in migration of people. Over the period of 15 years, from 2000 to 2014, a steadily increasing number of Ethiopians have been migrated to countries such as United States, Canada, Germany, Israel, Norway and Sweden. These countries are either broadcasting traditional media to Ethiopia or having strong Ethiopian social media networks. In making migration decisions, consumption of Western media and prior existence of networks play crucial roles. There has been constant or increasing number of migration to the countries which transmit media, radio and television, particularly in Ethiopian languages and where there are large numbers of Ethiopian Diasporas. In addition, social media is playing important roles in facilitating migration by creating and maintaining networks (connectivity) and providing information. Matchmaking sites are also contributing significantly by creating connectivity that eventually leads to marriage migration. DOI : 10.7176/NMMC/77-02
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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 | 0.007 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".