'Reading Against the Grain: Reading The Long Song intertextually'
Bibliographic record
Abstract
This article reflects on the deliberately situated and continuously evolving decolonizing strategies I have used to teach Andrea Levy’s The Long Song in the decade since its first publication in 2010. I suggest some of the ways in which teachers and educators can include both Levy’s novel and the 2018 three-part BBC television adaptation in their teaching. Key to my pedagogical approach is enacting critical reflexivity and teaching students to read contrapuntally or “against the grain” using a Caribbean archive of historiographical intertexts to the novel, sources which Levy herself used while writing The Long Song. The article suggests teaching approaches that not only allow for an aesthetic appreciation of The Long Song as a literary text but also facilitate wider political discussions of race, difference, and “history” and a critically informed response to wider transnational contexts—such as Britain’s often occluded colonial and black Atlantic history or Canada’s reassessment of its history of “polite racism.” On one level, Levy’s final novel can be read as a compelling neo-slave narrative, a historiographic metafiction that playfully and self-consciously probes the nature of narrative and how H/history is constructed. However, it is also important to read the novel within a Caribbean and black Atlantic context, rather than simply as historical fiction or as an example of postmodern playfulness. I examine how looking at the novel’s contexts and intertexts can shape an understanding of the novel as a response to a wider archive of white colonial writers as well as other important—though less privileged—sources, such as slave narratives. These, I argue, are key to a wider understanding of the novel and its focus on the nature of textuality, the different valences of oral and written storytelling, and the crucial question of how history is written.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".