Bibliographic record
Abstract
Preface de Joseph Desire Zingui, APEC Bayreuth : Bayreuth Mrican Studies 65, 22 euros, 310 pages. 1 11 'p"n,"" b mo" d'un pmonmg' d'Edga< Po" Mongo Beti aim, R adire que les ecrivains africains vivent une epoque formidable.Voici enfin Bedi-Ngula, l'ancien maquisard publie grace ala complicite de deux amis de Rene Philombe, Ambroise Kom, universitaire camerounais vivant aux Etats-unis d'Amerique et Eckard Breitinger, editeur allemand.Cet heureux evenement intervient plus d'un an apres le deces de l'auteur et surtout pres de 30 ans apres que le manuscrit compose et mis en page jaunissait irremediablement dans les tiroirs du seul ecrivain camerounais reellement celebre en raison de son seul talent qui n'a jamais vecu a l'etranger !Lhistoire de ce manuscrit aelle toute seule symbolise assez fidelement le destin de la pensee independante en post-colonie africaine, tout comme celui du heros du dernier roman de Rene Philombe.En effet, Bedi-Ngula, l'ancien maquisard retrace l'itineraire d'un militant de l'Union des
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.041 | 0.010 |
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".