Nlebe-Etoo, Joseph (2018) Chroniques d’une course vers le néant. Douala, Éditions Veritas, 149 pp., ISBN: 978-9956-635-67-7
Bibliographic record
Abstract
Somme toute, l’ouvrage de Joseph Nlebe-Etoo, paru deux ans plus tôt, a cependant la particularité de tutoyer de plus belle l’actualité internationale marquée par la crise, voire la catastrophe sanitaire planétaire due à la maladie à coronavirus (COVID-19). Cette triste situation ambiante illustre à suffire la trahison de l’Homme par la science et les limites du scientisme. Sa réflexion interpelle plus que jamais tout lecteur aux fins de prendre conscience des grands dangers divers susceptibles de ruiner massivement la vie des hommes. L’essayiste nous amène à nous interroger sérieusement sur nos actions passées, présentes et futures pour mieux renégocier notre destin commun sur la planète Terre, qui se doit d’être repensé, réinventé dans un élan d’humanisme, d’écologisme, de multiculturalisme, de tolérance, de fraternité, de religiosité, de modération, de justice et de paix.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.008 | 0.008 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.097 | 0.039 |
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".