Nollywood. L’industria video nigeriana e le sue diramazioni transnazionali
Bibliographic record
Abstract
Il volume ricostruisce la genesi e lo sviluppo dell’industria video nigeriana detta Nollywood, un sistema che produce 1000-1500 film ogni anno e li distribuisce direttamente in formato home-video. I video di Nollywood circolano in quasi tutta l’Africa sub-sahariana, nei Caraibi, in Nord America, in Canada e nella maggior parte dei paesi europei. Hanno dato vita a nuove forme di pan-africanismo, grazie alla combinazione tra il modo con cui sono prodotti e distribuiti e i valori estetici, culturali e sociali che essi veicolano. È un tipo di pan-africanismo ben diverso da quello promosso dai grandi portavoce della lotta anticoloniale, ma non per questo si dimostra meno efficace e influente. Il grande successo internazionale di Nollywood ha riaperto il dibattito su cosa significhi «essere africani oggi» e sulle trasformazioni sociali e culturali che hanno attraversato l’Africa negli ultimi anni.
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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) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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; both teacher heads agree on what is shown here.
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".