Transcultural Film in Québec: North African Diasporas in Bachir Bensaddek’s <i>Montréal la Blanche</i> and Raed Hammoud’s Documentaries on <i>Daech</i>
Bibliographic record
Abstract
This article examines the films of Bachir Bensaddek (Montréal la Blanche, 2016) and Raed Hammoud (T’es où Youssef, 2017 and Les Poussières de Daech, 2020) against the backdrop of an ever-increasing global trend of migration, as is evident in the Bouchard/Taylor report on “Building the Future: A Time for Reconciliation” (2008) and the 2018 Global Compact on Migration (IOM). By problematizing the homogeneity of both “home” and “host” cultures in their cinematic work on “néo-Québécois,” Bensaddek and Hammoud contribute meaningfully to how immigration and integration are inflected through the work of imagination within the Québécois context. The relevance of their transcultural films is evident in their focus on the experiences of the large, more recent group of immigrants to the francophone province from the Maghreb (North Africa). The films multiply strategies for understanding the different challenges facing new Québécois as well as providing insights into what might shore up an intercultural society.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".