Seconde oralité dans l’œuvre littéraire Kaïdara d’Amadou Hampâté Bâ : perspectives de transposition cinématographique
Bibliographic record
Abstract
Le but de cet article est de montrer des ressorts de la tradition orale qui participent à rendre le cinéma africain plus authentique. Concernant l’adaptation filmique des œuvres littéraires, il est important de noter que certaines productions ont choisi le roman par rapport au conte. Pourtant l’Afrique de l’Ouest se rattache foncièrement à la culture de l’oralité. Les contes, langues et proverbes ont tous été appris oralement. S’appuyant sur l’un des auteurs dont l’engagement sur le plan culturel n’est plus à démontrer, notre propos s’autorise à inviter les cinéastes négro-africains à revisiter le riche patrimoine littéraire qui se rapporte aux contes d’Hampâté Bâ.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".