Bibliographic record
Abstract
The Parisian banlieues, long absent from the dominant French imaginary, have materialized as spatialized, racialized markers of political-economic crisis, social fragmentation, crime and violence. In this paper I consider how the film La Haine (1995) confronts this contemporary spatialized and historicized anxiety by critiquing assumptions behind such dominant representations. I begin by situating La Haine alongside other ‘banlieue films’ that have challenged hegemonic conceptions of France’s imagined geographic identity. I then outline some of the key historical moments that transformed the banlieues from ‘terra incognita’ into the ‘fractures at the end of the 20th century’. I go on to examine La Haine’s combined narrative style and cinematic form to argue that the film’s attention to spatiality – or the social relations shaping the boundaries between the ‘urban’ and ‘suburban’ – explicitly confronts the hidden foundations of neo-racism in France. The film, through both content and form, exposes historical and emergent forces framing banlieues and youth, offering a critical reflection on the many levels of mediation between the film itself and the material conditions which gave rise to its production.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.011 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".