Identification par le « je » et territorialité fragile du cinéma en Algérie
Bibliographic record
Abstract
Cette réflexion s’élabore en suivant le fil tendu entre images filmiques et paroles de ceux qui les ont réalisées. Parcourant Hystérésis (Algérie/Autoédition, 2009, 15’) de Tahar Kessi, Bir d’eau – walk movie – portrait d’une rue (Algérie/Autoédition, 2010, 60’) de Djamil Belloucif, J’ai habité l’absence deux fois (Algérie/Béjaia DOC, 2011, 28’) de Drifa Mezener et El Berrani (Algérie/Béjaia DOC, 2010, 32) d’Aboubakar Hamzi, elle met les uns à côté des autres des mots qui parviennent à faire entrevoir une des géographies possibles du territoire d’un cinéma d’Algérie qui assume totalement son intériorité malgré toutes les assignations.This reflection develops by following the connection between the images that appear in films and the words of those who directed them. Reviewing Tahar Kessi’s Hystérésis (Algeria/Autoédition, 2009), Djamil Belloucif’s Bir d’eau - walk movie - portrait d’une rue (Algeria/Autoédition, 2010), Drifa Mezener’s J’ai habité l’absence deux fois (Algeria/Béjaia DOC, 2011) and Aboubakar Hamzi’s El Berrani, it compares the words that allow us to catch a glimpse of one of the possible landscapes of Algerian cinema, one that completely accepts its inwardness.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.013 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".