Bibliographic record
Abstract
Almost a quarter of a century after the abolition of apartheid, violent crime and fear thereof continues to afflict South Africa. Until well into the 20th century, the country’s literary canon primarily dwelled on presentations of inter-racial violence, suggesting that whites are the sole targets of violence inflicted by ‘evil savages’. In the past seventy years, however, this notion was challenged by writers who increasingly attributed ‘native crime’ to structural (institutionalized) violence and depicted native lawbreakers as victims in disguise. Based on five literary texts, including Paton’s novel 'Cry, The Beloved Country', Mphahlele’s autobiography 'Down Second Avenue', Matthews’ short story “The Park”, Fugard’s play 'My Children! My Africa!' and Coetzee’s novel 'Disgrace', this book aims at disclosing the origin of violent crime in present-day South Africa. An initial outline of Galtung’s ‘violence triangle’, which discusses three forms of violence (direct, structural and cultural violence), serves as a theoretical foundation for the literary analysis, on the basis of which the causality of crime shall be explored.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.007 | 0.014 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".