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Record W4388525217 · doi:10.1080/1369183x.2023.2278401

Outsiders within: examining Ethiopian adoptee experiences through a diasporic lens

2023· article· en· W4388525217 on OpenAlexaff
Hewan Girma, Alpha Abebe

Bibliographic record

VenueJournal of Ethnic and Migration Studies · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicDiaspora, migration, transnational identity
Canadian institutionsMcMaster University
Fundersnot available
KeywordsDiasporaMainstreamSociologyGender studiesPoliticsIdentity (music)NegotiationPublic sphereInclusion–exclusion principleMedia studiesPolitical scienceSocial scienceAesthetics

Abstract

fetched live from OpenAlex

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.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0080.007
Scholarly communication0.0070.004
Open science0.0010.006
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.308
GPT teacher head0.438
Teacher spread0.130 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations3
Published2023
Admission routes1
Has abstractyes

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