Translational Space and Creolising Aesthetics in Three Women’s Novels: the Radical Diasporic (Re)turn
Bibliographic record
Abstract
Proposing the notion of translational space, I consider the classroom and the literary text as crucial though differentiated spaces of translation. The idea of translational space borrows from Doreen Massey’s elaboration of space as a “complex web of relations of domination and subordination, of solidarity and cooperation.” I interlink the complexity of Massey’s “web” with an intention by the radical Other to translate, and interrogate how selected Caribbean diasporic texts might be shown to engage a process of translation, and for whom, particularly in light of George Lamming’s pronouncement concerning the West Indian writer, that “[h]e writes always for the foreign reader”. What is the translational impetus of a later generation of writers who Lamming was unable to imagine, namely, women authors of the region? I consider the translational space created by those authors’ challenging of canonical traditions that not only break through publication barriers, but place black women protagonists as central to their writing. The crux of my enquiry is the diasporic imaginary–represented in Beryl Gilroy’s In Praise of Love and Children, Andrea Levy’s Small Island, and Velma Pollard’s Karl–an imaginary which, centring black women characters is also concerned with a dialogic representation of the Other. I highlight issues of Creole or Caribbean identity that such an imaginary figures in its aesthetics and I foreground the diaspora as contested space whether public or intimate. Additionally in these texts, the (re)turn, as I consider it, affords a contemporary contextual presencing in dialogue with a violently muted historical past. Arising from this, my larger questions concern the meanings that might be inferred from such a Creole diasporic imaginary and its representation in terms of aesthetics and translational space. I explore the fictional representation of Caribbean lives “on the move” in Cresswell’s terms and their transnational representation. In their gendering of creolisation, diaspora and race, how do the writers translate the spatial interface that their characters negotiate? Whether in memories of Toronto in Pollard’s writing or in the London of Levy’s and Gilroy’s fiction, how do these texts represent space not only as cultural crossings but also as translational space within the new triangle that contests and dislodges notions of 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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.019 | 0.032 |
| Scholarly communication | 0.013 | 0.005 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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".