Outsiders within: examining Ethiopian adoptee experiences through a diasporic lens
Bibliographic record
Abstract
The term ‘diaspora’ continues to have purchase, as public and scholarly communities grapple with a world increasingly characterized by transnational flows of people, ideas, and capital. The concept has played a critical role in making these messy constellations of social, political, and economic ties both visible and legible. However, transnational adoptees are often positioned just outside this analytical purview, and their migrations, identity processes, and political projects are rarely examined through a ‘diasporic’ conceptual lens. Based on 20 in-depth interviews with adult Ethiopian adoptees residing in the US, this paper discusses the points of dis/connection between Ethiopian adoptees and the larger Ethiopian diaspora. We focus on how Ethiopian adoptees navigate their inclusion/exclusion as peripheral actors across social groups, as well as the active work they engage in to negotiate their diasporic identities, belongings and personal politic. This analysis draws our attention to new actors at the edges of diasporic communities, which complicates and enriches mainstream conceptions of diaspora.
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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 | 0.002 | 0.001 |
| 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) | 0.000 | 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".