Bibliographic record
Abstract
Abstract The Magic of Saida by M.G. Vassanji (2012) centres on the central figure of the novel’s story, Kamal. He is the son of an African mother and an Asian (read Indian) father, who grows up in Tanzania and then relocates to Canada where he becomes an established doctor. The novel tackles themes of African-Asian (read Afrasian) racial identity, belonging, and the effects of the past on the present. Kamal identifies mainly as an African when residing with his mother in Kilwa during his childhood; he is then urged to embrace an Indian identity when he is sent to live with his uncle in Dar es Salaam in his early adolescence. Decades after moving to Edmonton, Canada, Kamal decides to come back to Kilwa. This paper explores the tension and ambiguity in Kamal’s identity by analyzing the way he defines himself—or is defined—in Kilwa and Dar es Salaam, and then investigating, through an eclectic psychochriticism lens, how that in turn affects him as he ages and drives him to return in seach of what it means to be both an Asian and an African in the context of East African cultural landscapes.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.019 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| 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".