Recapturing Memory : violence, resistance and the Algerian War in La Seine était rouge and Hors-la-loi
Bibliographic record
Abstract
The Algerian War of Independence was a brutally violent conflict between the French colonial state and the Algerian National Liberation Front (FLN).The events of the war were censored-and continue to be suppressed-by French politicians and media outlets, thus limiting the official memory of the conflict.However, historians, authors, and filmmakers have attempted to restore this lost memory since Algerian independence.Leila Sebbar's novel La Seine était rouge (1999) and Rachid Bouchareb's film Hors-la-loi (2010) both focus on recovering the memory of the Algerian war, looking in particular at how it impacted those living in France during decolonization.Whereas Sebbar concentrates on uncovering French violence, Bouchareb accentuates internecine violence between Algerian liberation groups.This project first analyzes these works' politicized interventions into the fraught representation of wartime violence.It then examines the portrayal of French anticolonial resistance, such as the efforts of the Jeanson Network and the ambitions of the younger generation.These works suggest that, in order to truly recapture such memories of the Algerian past, it is crucial to nuance binary understanding of colonial conflict.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.011 | 0.015 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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; 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".