Bibliographic record
Abstract
Notes on Contributors General Preface Introduction 1. Translation matters: Linguistic and Cultural Representation, Paul Bandia (Concordia University, Canada) 2. Cracking the Code: Translation as Transgression in in Triomf, Leon de Kock (University of the Witwatersrand, South Africa) 3. Translational intertexts in A Change of Tongue: preliminary thoughts, Frances Vosloo (University of Stellenbosch, South Africa) 4. How translation feels, Libby Meintjes (University of the Witwatersrand, South Africa) 5. Problems and Prospects of Translating Yoruba Verbal Art into Literary English: An Ethnolinguistic Approach, Tajudeen Surakat and Ahmadu Bello (Amhadu Bello University, Nigeria) 6. Translating the third culture: the translation of aspects of Senegalese culture in selected literary works by Ousmane Sembene, Charmaine Young (University of South Africa, South Africa) 7. Translating, rewriting and retelling traditional South African folktales: mediation, imposition or appropriation?, Judith Inggs (University of the Witwatersrand, South Africa) 8. The concepts of domestication and foreignization in the translation of children's literature in the South African educational context, Haidee Kruger (North-West University, South Africa) 9. Translation and Shifting Identities in Post-apartheid South Africa: Re-thinking Teaching Paradigms in Times of Transition, Ileana Dimitriu (University of KwaZulu-Natal, South Africa) 10. Towards Comprehending Spoken-Language Educational Interpreting as Rendered at a South African University, Marlene Verhoef and Johan Blaauw (North-West University, South Africa) 11. Simultaneous Interpreting: Implementing Multilingual Teaching in a South African Tertiary Classroom, Anne-Marie Beukes and Marne Pienaar (University of Johannesburg, South Africa) Index.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.008 |
| Science and technology studies | 0.009 | 0.003 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.071 | 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".