Bibliographic record
Abstract
The following article is the concluding half (part 1 published in Kinema Spring 2006) of a three-section historical overview of South African cinema from early beginnings as newsreels during the Anglo-Boer War to the recent international acclaim for features such as Tsotsi. Some of the veterans of South African cinema are also acknowledged. The last section of this article is dedicated to South African documentary filmmaking. (2) PROFILES OF VETERAN DIRECTORS ALTHOUGH 1994 saw the birth of democracy in South Africa our film industry is much older; in fact, our great documentary film tradition dates back to 1896 and the Anglo-Boer War.(1) While celebrating the past ten years of democracy, we shouldn't forget those filmmakers who created films against all the odds. Jans Rautenbach (Jannie Totsiens), Ross Devenish (Marigolds in August) and the younger generation of the 1980s challenged moral and political censorship, a severe lack of...
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.069 | 0.008 |
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".