Bibliographic record
Abstract
Dans le sud-est de la Côte-d’Ivoire, les personnes âgées ont droit à des funérailles solennelles faisant une large place aux manifestations musicales, dansées et chantées. Les lamentations funèbres et le noolo, expressions plutôt chantées, sont exécutées en hommage au défunt. Mais si les lamentations sont plutôt larmoyantes, le noolo est plutôt vigoureux. Et tandis que les paroles des lamentations ont trait à la solitude physique et morale dans laquelle le mort laisse le vivant, au questionnement sur son propre sort, au rôle de médiateur (conféré au défunt) entre le monde des vivants et celui des morts, et finalement renvoient à une certaine impuissance face à la mort, le noolo s’apparente plutôt à un défi lancé à la mort, qui vise à inciter les endeuillés au courage pour vaincre la mort.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.014 | 0.001 |
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".