Between ‘home’ and migritude: Louise Bennett, Kamau Brathwaite and the poet as migrant
Bibliographic record
Abstract
Abstract What is the relationship between migration and poetry? By examining poetry by Caribbean writers Louise Bennett and Kamau Brathwaite, this article provides historical context and alternative ways of answering this question. Theoretically speaking, this article embarks on the conceptual path of Aimé Cesairé’s use of négritude as a ‘compass of suffering’. It does so by adopting Vijay Prashad and Shailja Patel’s term migritude or an aesthetic attempt to live within the idea of the migrant subject. The article begins with a sketch that examines Warsan Shire’s poem ‘Home’ in the context of the Syrian refugee crisis. It then looks into the archive of Bennett’s and Brathwaite’s poetry to see how poems written by migrant authors help to shape visions of migration and migrant subjects.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".