The Resurgence of Hidden Identities: The Burden of Ancestry in Nadine Gordimer’s “ Beethoven Was One-Sixteenth Black ”
Bibliographic record
Abstract
L’article interroge la possibilité d’écrire un moment présent continu déterminé par le poids du passé dans “ Beethoven Was One-Sixteenth Black ” (2007) de Nadine Gordimer. Cherchant une validation raciale dans la “ nouvelle ” Afrique du Sud, le protagoniste de cette nouvelle, un universitaire blanc ancien activiste anti-apartheid, entreprend de vaines recherches pour trouver des parents métis qui auraient pu être engendrés par son ancêtre. Cette quête identitaire imaginée par Gordimer laisse paraître le regain des sensibilités raciales dans un pays censé avoir assumé son passé racial et raciste treize ans après les élections de 1994. La certitude biologique et le fait historique s’opposent ainsi à la question plus ambiguë de l’identité personnelle. En s’intéressant à la question “ d’où est-ce que je viens ? ” qui obsède le protagoniste et rythme la nouvelle, cette étude essaie de démontrer comment les incertitudes identitiares resurgissent dans l’œuvre postapartheid de Nadine Gordimer. Les problèmes d’appartenance et d’origine deviennent, avec ce dernier recueil, caractéristiques de ses nouvelles.
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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 | 0.003 |
| 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 | 0.015 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| 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".