Interface and erasure in Le Clézio’s ‘Mondo’ and Gatlif’s Mondo (1997): Problems of nterpretation and reception
Bibliographic record
Abstract
The Algerian-born French filmmaker of Romani origin, Tony Gatlif and the Nobel prize-winning French author of Mauritian, French and British origins, J.-M. G. Le Clézio both draw attention to displaced individuals and groups that inhabit the margins of the postcolonial world. Gatlif has done this through films eflecting the history of Romani peoples. Le Clézio has always been devoted to cinema as a means of apprehending experience, yet his works have not been extensively translated to film media. Gatlif’s film Mondo, based on a story by Le Clézio, offers insight into the intersection of these two visions. The reception of both Gatlif’s militancy and Le Clézio’s commitment to writing about underrepresented individuals and communities remains as challenging and uncertain as the future, in Francophone and world cinema, of unclassifiable films like Mondo.
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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 | 0.005 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.016 | 0.031 |
| Scholarly communication | 0.019 | 0.007 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.004 | 0.004 |
| 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".