Uncovering a Love of Self: Individuality and Coloured Identity in Ntokozo Madlala and Mandisa Haarhoff’s Crush-hopper
Bibliographic record
Abstract
Ntokozo Madlala and Mandisa Haarhoff’s Crush-hopper (2011) explores the challenges that historically oppressed South Africans face when attempting to define themselves outside, or beyond, the racial categories imposed by the former apartheid state. Although apartheid laws that arbitrarily divided citizens into distinct racial categories ended with the creation of a legal system “committed to non-racialism” at independence, in many instances people continue to feel trapped by past definitions of race (Desai and Vahed 1). Pallavi Rastogi asserts this crisis is especially felt by ethnic minorities such as South African Indians, some of whom feel the decolonizing state is “still predicated along the black and white binary” that was entrenched during apartheid (550). Exploring the impact that this racial polarity has had on a citizen of mixed heritage raised outside of apartheid’s temporal limits, Crush-hopper illustrates the multiple ways that racial hierarchies imposed on marginal communities during colonization continue to cause trauma and a fractured sense of identity after the nation’s transition to a democratic state.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.016 | 0.039 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 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".