Mashrou’ Leila’s Musical Affective Politics: Queer Resistance in the Egyptian Social and Political Uprising
Bibliographic record
Abstract
On June 14, 2020, queer Egyptian Sarah Hegazy died by suicide in Canada, where she was exiled shortly after her release from prison in Egypt for raising a rainbow flag during a Mashrou’ Leila (ML) concert on September 22, 2017. Following the concert night, Egypt saw widespread arrests of Lesbian, Gay, Bisexual, Transgender, and Queer (LGBTQ) individuals amidst an imposed media block-out on the queer community. Soon after, a transnational response came from queer groups around the world as they mobilized in solidarity with the Egyptian queer community. Inspired by this concert and its aftermath, this article offers an analysis of ML’s music (lyrics), videos, images, interviews, fan base, and other opinions and perspectives of them. Within this analysis, to assess ML’s sociopolitical significance, I posit the concert as a distinctively unique culmination event generative of queer affective politics of resistance for the Egyptian queer community since the 2011 uprising. In doing so, this article contextualizes state-sponsored homophobic violence as an intrinsic component of the new regime’s political transition using a musical queer analysis that is entangled in Egypt’s body politics, international diplomatic relations, and domestic legal and sociocultural perceptions on morality.
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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 | 0.008 | 0.010 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".