Indian Ocean Trade and Emerging Pathways of Mobility in Neoliberal Zanzibar
Bibliographic record
Abstract
Indian Ocean trade historically directed ‘routes’ for merchants and traders to frame their ‘roots’ in Zanzibar. It facilitated access to different forms of social capital for imagining new trajectories of hope and constructing more meaningful futures. However, colonial rule and subsequent policies of the socialist revolutionary government severely restricted the mobility of Zanzibaris and their engagement in Indian Ocean trade, initiating a new era of uncertainty. As free-market policies have revived since the mid-1980s under a renewed framework of neoliberalism, this article examines how Zanzibaris, increasingly finding themselves in conditions of involuntary immobility, are trying to participate today in mercantile activities that brought prosperity in the past in hopes of securing a brighter future. The article explores how the efforts of Zanzibari merchants and traders to engage in trans- national Indian Ocean trade provides, for these limited groups of individuals, access to envisioning different pathways of socioeconomic mobility in the neoliberal era. The article contends that engagement in Indian Ocean trade, through support from transnational and diasporic networks, facilitates access to new routes of mobility to situate one’s roots in Zanzibar, while the situation for the majority of Zanzibaris continues to deteriorate under neoliberalism today.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.010 | 0.013 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".