Bibliographic record
Abstract
At first glance, Moufida Tlatli's rapidly growing international reputation might seem to align her closely with Djibril Diop Mambety, since the widely acknowledged status of both is based on a very limited cinematic output: in Mambety's case, two feature films and a handful of shorts; in Tlatli's, just two feature films. Tlatli's first film Samt al-Qsur was released in 1994. The story of the illegitimate daughter of a servant growing up in a princely palace in Tunis in the final period of the French colonial regime, it won prizes at Cannes, San Francisco, Carthage, and Toronto film festivals, and was even commercial success. Tlatli's second film, Mawsim al-Rijal is a study of the lives of women in the Tunisian south whose husbands leave to work in the capital for eleven months a year, returning only for their brief 'season'.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".