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Record W4281750223 · doi:10.26443/jiows.v6i1.120

'Kuishi Ughaibuni': Emplaced Absence, The Zanzibar Diaspora Policy, and Young Men's Experiences of Belonging in Zanzibar and Oman

2022· article· en· W4281750223 on OpenAlexvenueno aff
Franziska Fay

Bibliographic record

VenueThe Journal of Indian Ocean World Studies · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Maritime and Colonial Histories
Canadian institutionsnot available
Fundersnot available
KeywordsDiasporaHomelandSwahiliPoliticsConstitutionState (computer science)Political scienceGender studiesGovernment (linguistics)Foreign policySociologyLaw

Abstract

fetched live from OpenAlex

Ughaibu, in Swahili, describes a state of being absent, or missing, a state of unobtainability and remoteness. Paired with the locative ‘-ni’, ughaibuni translates as ‘diaspora’. The concept of diaspora was recently put at the centre of a policy issued by the government of Zanzibar in 2017. In The Diaspora Policy of Zanzibar the ‘Zanzibar Diaspora’ refers to ‘people originating from Zanzibar who are residing in foreign countries but maintain patriotism to their homeland, recognize the 1964 Zanzibar Revolution as the basis for the liberation of Zanzibar people and respect the laws and constitution of Zanzibar.’ It is considered ‘of vital importance that such people remain patriotic and demonstrate a sense of belonging, desire and commitment to support socio-economic development of Zanzibar’ (p. 8). Drawing on conversations with young Zanzibaris who live with absence, or in diasporic situations, conducted between 2018-2019, in this article I argue that exploring specifically the movement of young people can enrich our understanding of what the ‘Zanzibar Diaspora’ may be. By thinking with diaspora as ‘absence’ I take into consideration the accounts of young Zanzibaris, who negotiate absences both within Zanzibar itself and between Zanzibar and Oman, and show that their own concepts of diasporic belonging go beyond the political limitations expressed in the policy. In both cases ‘going absent’ becomes a present-making and future- building strategy that helps young Zanzibaris navigate stagnation.

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)0.004
metaresearch head score (Gemma)0.002
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 score0.089
Threshold uncertainty score0.177

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0260.014
Scholarly communication0.0060.004
Open science0.0010.007
Research integrity0.0020.005
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 head0.013
GPT teacher head0.285
Teacher spread0.272 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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