Bibliographic record
Abstract
BLAISE NDALA est n en 1972 en RDC et il vit depuis 2007 Ottawa au Canada, o il travaille en tant que juriste au sein de la fonction publique fdrale, aprs avoir t reprsentant en Hati de l'ONG des droits humains Avocats sans frontires Canada. Ses deux romans, J'irai danser sur la tombe de Senghor (L'Interligne, 2015 / Vents d'ailleurs, 2019) et Sans capote ni kalachnikov (Mmoire d'encrier, 2017) ont reu des prix prestigieux. Le premier a notamment remport le Prix du livre d'Ottawa , et le second a remport l'dition 2019 du concours radiophonique canadien Le Combat national des livres . Le ralisateur franco-algrien Rachid Bouchareb a rcemment acquis les droits de J'irai danser sur la tombe de Senghor pour l'adapter au cinma. Rgulirement invit dans les mdias titre de chroniqueur, Blaise Ndala est aujourd'hui considr comme l'une des grandes voix du roman au Canada francophone. Sa troisime oeuvre de fiction, fresque la fois historique et contemporaine sur le Congo et sa dcolonisation, paratra en janvier 2021.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 teacher head, 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".