Spaces in-Between: Exile, Emigration, and the Performance of Memory in<i>Zahra's Mother Tongue</i>
Bibliographic record
Abstract
Abstract In her 2011 documentary,La Langue de Zahra/Zahra's Mother Tongue, Algerian/French filmmaker Fatima Sissani “gives voice” to her Kabyle mother, Zahra, who lived in France as an immigrant woman for years after Algerian independence without speaking French. Often considered uneducated and ignorant, these women act as archives of oral tradition, history, and poetry in a language their children often do not speak. In this paper, I will look at how this performative documentary film creates “spaces in-between” cultures through its uses of performance, orality, and cinematic space. A number of recent Maghrebi and sub-Saharan African documentaries have emerged that can be described as performative documentaries in which historical evocation and emotive connection to the subject matter is as important to the filmmaker as factual referencing. The filmmaker plays a self-reflexive role in the text, which often shapes the content. It is important to note that the film is not about being forced to choose between two geographical locations, and it does not seek to hybridize two cultures, but rather is concerned with other sorts of questions such as the nature of Berber culture and language, how it impacts not only the representation of Algeria's post-Independence history (the troubled context of the 1990s, the history of Algerian migration to France), but also the practice and aesthetics of this contemporary documentary filmmaker. The film suggests possible new ways of looking at questions of minority language (Kabyle), culture, and identity that could potentially greatly contribute to the understanding of contemporary independent documentary film practices, discourses, and aesthetics.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".