Towards a Global South Literary Genealogy: M. G. Vassanji and Joseph Conrad as Secret Sharers in The Book of Secrets and Heart of Darkness
Bibliographic record
Abstract
Conrad’s fiction is full of ‘secret sharers’, from the duo of the short story of the same title, and in particular Heart of Darkness, has continued to generate intertextual sharers down the twentieth century. This chapter investigates an Eastern African example of such ‘secret sharing’, Tanzanian-Canadian author M. G. Vassanji’s novel The Book of Secrets (1996). Rather than treating the novel as a derivative avatar of Conrad’s Heart of Darkness, however, the chapter shifts the perspective to ask to what extent such textual genealogies themselves are productive of new literary histories from beyond the bounds of Europe. The chapter explores the idea that literary history, and perhaps history in general, is generated by its outsides. Here, the Global South is not merely the recipient of Conradian influence in a vector that reinscribes that of colonial intrusion; rather, the Global South is a productive matrix of generative textual lineages that interact creatively and generously to the prior genealogies informing Conrad’s texts.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.009 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".