Ain’t no black in the (Brexit) Union Jack? Race and empire in the era of Brexit and the<i>Windrush</i>scandal
Bibliographic record
Abstract
This article examines Brexit and the Windrush scandal as twin manifestations of the border anxieties that have structured questions of belonging in contemporary Britain. It discusses Paul Gilroy’s There Ain’t No Black in the Union Jack and Austin Clarke’s Growing Up Stupid Under the Union Jack as two texts which attend to questions of race and empire in the mid-20th century in relation to British national identity. Both Clarke and Gilroy situate the reterritorialization of Britain in the wake of the globalizing history of British Empire which made possible, for instance, the widescale solidarities and conscriptions of World War II. In their attention to the role of empire in the making of Britain, these texts effectively complicate easy demarcations of Britishness and borders and allow us to historicize the conditions under which national boundaries have come to be so central to narratives of British identity.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.032 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".