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Record W4313989916 · doi:10.57054/ad.v47i4.2980

‘Ghanaian first’: Nationality, Race and the Slippery Side of Belonging for Mixed-Race Ghanaians

2023· article· en· W4313989916 on OpenAlex
Karine Geoffrion, Georgina Yaa Oduro, Mansah Prah

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAfrica Development · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicAfrican history and culture studies
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsPrideRace (biology)NationalityEmpowermentIdentity (music)Agency (philosophy)Mixed raceGender studiesPopulationSociologyWhite (mutation)Political scienceImmigrationSocial scienceLawDemography

Abstract

fetched live from OpenAlex

This article explores the multifaceted ways in which race impacts on processes of identification with the Ghanaian nation for mixed-race Ghanaians. Using a constructionist approach to identity, which highlights the agency of actors, the article underscores the shifting and racialising nature of national identity in transnational contexts. The article argues that whether they were born and raised in Ghana or they grew up in a Western country, mixed-race Ghanaians mainly identify as ‘Ghanaian first’. Their affiliation to Ghana stems both from growing up in the country and from being identified as black outsiders in countries of the white Western world. In both contexts, identifying as a Ghanaian is a source of pride and empowerment. However, their membership of the Ghanaian nation is often contested in their everyday life by the majority black-identified Ghanaian population, based on ethnoracial (non)authenticity premises. As such, mixed-race Ghanaian participants actively shape their Ghanaianness to justify their right to belong.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.865
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.026
GPT teacher head0.271
Teacher spread0.245 · 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