[In]flujo de las telenovelas latinoanoamericanas en África : popularización, efectismo y corolarios
Bibliographic record
Abstract
L’hétérogénéité et la complémentarité sont les nouvelles exigences et aspirations du monde actuel. Dans cette perspective, on peut comprendre l’arrivée et le succès des télénovelas latino-américaines dans la plupart des pays africains. À l’instar du Cameroun, les télévisions répondent avec satisfaction, dans ce sens, à la demande et au besoin de la société. L’impressionnant accueil de ces télénovelas est la manifestation de la volonté de nos sociétés de s’ouvrir au monde, de favoriser des changements interculturels ou d’échapper, bien que de manière éphémère, aux forces asphyxiantes. A la différence des séries télévisées en provenance de la France et des pays anglo-saxons, récemment ce sont les télénovelas latino-américaines les plus appréciées. Le phénomène – très curieux et intéressant - influe considérablement sur le quotidien des populations.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 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".