Negotiating Unsettling Memories: Contemporary Franco-Maghrebi Literature on the Israeli-Palestinian Conflict
Bibliographic record
Abstract
This thesis focuses on contemporary Francophone North African writers who deal with the Israeli-Palestinian conflict in their literary work. These authors include Valérie Zenatti, Slimane Benaïssa, André Chouraqui, Hubert Haddad, and Yasmina Khadra. The disciplinary framework combines (Francophone) postcolonial studies, Jewish studies, and memory studies in considering the traumatic legacies of genocide and colonialism which together form an historical backdrop to the Arab-Israeli conflict as depicted in the primary texts. By focusing on the 1990s to the present day, the thesis looks at fictional responses to the breakdown of the so-called peace process, revealing tentative spaces for dialogue and re-evaluation within the texts which allow for unsettling memories to be negotiated. In relation to the authors’ own trajectories as well as their works of fiction, the thesis explores alternative identities to the Arab versus Jew and Israeli versus Palestinian antagonisms. Indeed, the thesis highlights the flimsiness of identity binaries between Arab, Jew, Palestinian, and Israeli identities, which are in tension with rather than in opposition to one another, steeped as they are in interrelated traumatic pasts. Moreover, the thesis draws on the concepts of filiation (roots) and affiliation (connections), demonstrating the dialogic potential of the primary texts, which resist utopian endings but dare to imagine an alternative future of peaceful coexistence.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.019 | 0.017 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".