Slamming the “Continuing” Moroccan Revolution: Noussayba Lahlou's Bittersweet Verses
Bibliographic record
Abstract
Abstract In this article, I am interested in looking at women's current mobilization techniques in Post-Arab Spring North Africa. To do so, I draw from the existing literature on the case of Egypt which identifies women's contemporary resistance in creative disobedience patterns – that is women's art activism that advocates, concomitantly, for social justice and gender equality. In my attempt to fill an existing gap in the literature, I investigate the existence of such resistance patterns in Morocco, as well as their main characteristics and country specificities. Because (slam) poetry is a traditionally resistant genre in the Arab region, I take as a case study Noussayba Lahlou's slam poetry to explore the political potential of women's slams to advocate for women's rights and sociopolitical liberties in post-Arab Spring Morocco. To do so, I conducted a virtual interview with the artist by administering a structured online questionnaire, alongside a content analysis of eight of her most recent and salient slams. A 24-years-old slam poet from Morocco, Noussayba's revolutionary verses tackle widespread regime abuse and corruption, alongside women's rights and many other social woes in the country.
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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 | 0.009 | 0.005 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".