Le patriarcat et la marginalisation de la femme chez Amadou Amal et Samia Sharrif
Bibliographic record
Abstract
This master’s thesis focuses on patriarchy and its consequences for young female protagonists in Les impatientes de Djailli Amadou Amal and Le voile de la peur by Samia Sharrif. Focusing on on the concept of patriarchy across different aspects of feminism, including Islamic feminism, this thesis examines the oppression and violence faced by young Muslim women in their respective families. The thesis is divided into three chapters. The first chapter examines various trends of feminism, and the concept of patriarchy as explained by Solati Fariba and Samuel Okafor. The second chapter focuses on the institution of patriarchal order in Les impatientes and Le voile de la peur. This chapter is divided into two parts. In the first part, we examine the impact of the Muslim religion on the lives of young girls. We discuss religion as a tool for manipulation and violence. Secondly, we examine the hierarchical family structure and gender inequality in both texts. Our last chapter deals with the consequences of patriarchy and the resilience of female characters in both texts. In this chapter, we analyze the suppression of young women’s aspirations in texts, polygamy as a consequence of patriarchy and finally, the impact of patriarchy on the mental health of young girls and their various ways of resisting the patriarchal system. This resistance to patriarchy allows these young women to
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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".