Bibliographic record
Abstract
Tens of thousands of Eritreans make perilous voyages across Africa and the Mediterranean Sea every year. Why do they risk their lives to reach European countries where so many more hardships await them? By visiting family homes in Eritrea and living with refugees in camps and urban peripheries across Ethiopia, Sudan, and Italy, Milena Belloni untangles the reasons behind one of the most under-researched refugee populations today. Balancing encounters with refugees and their families, smugglers, and visa officers, The Big Gamble contributes to ongoing debates about blurred boundaries between forced and voluntary migration, the complications of transnational marriages, the social matrix of smuggling, and the role of family expectations, emotions, and values in migrants’ choices of destinations. “Milena Belloni’s engrossing ethnography—carried out across time, space, and place— is particularly commendable because of her scholarly commitment to ‘getting things right.’ The Eritrean women and men whose lives provided its empirical ground will see their pain, joy, and contradictions reflected back at them. This is scholar activism at its finest.” LAURA BISAILLON, Professor of Health and Society, University of Toronto Scarborough “The Big Gamble is a study of a migrant group that has received very little scholarly attention. Its focus on the Eritrea to Europe corridor is a novel approach, and Milena Belloni has produced a compelling and courageous account.” PETER KIVISTO, Augustana College and University of Helsinki “A monumental and perceptive story of migration, taking the reader on a journey not just from Africa to Europe but through reflections on moralities, risk, and trust that are central to contemporary mobility and immobility. Belloni’s account of Eritrean migration experiences is powered by formidable fieldwork and written with warmth and wisdom.” JØRGEN CARLING, Peace Research Institute Oslo MILENA BELLONI is a sociologist at the University of Trento. Her doctoral research on Eritrean migration received the 2016 IMISCOE Award. Belloni has published in the Journal of Refugee Studies and the Journal of Ethnic and Migration Studies.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.011 | 0.006 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.957 | 0.941 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".