Bibliographic record
Abstract
Abstract The expulsion of Ugandan Asians in 1972 coincided with the formal and informal development of multiculturalism as state policy and as shibboleth, while their arrival in places like Canada and Britain accelerated or compelled its advance. In both contexts, Uganda's Asians as well as cognate communities from Kenya and Tanzania are often seen as one of multiculturalism's ostensible success stories, even though in Britain they have also become some of its most visible critics. This essay suggests that the history of the expulsion is intimately rather than only accidentally connected to that of multiculturalism. It traces the conceptual links between the colonial “multiracialism” that defined the contexts in East Africa from where the Asians were expelled and what is today called multiculturalism. It makes the case that both might be better understood in relation to the persistent problem of mediation, as well as the uncertain place of mediating groups themselves.
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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 | 0.008 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.006 | 0.024 |
| Scholarly communication | 0.010 | 0.014 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.047 | 0.008 |
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".