Twice the Responsibility: Intersectionality and Gender Performativity in Palestinian Hip-Hop
Bibliographic record
Abstract
While more scholarship has appeared over recent years on the subculture of political hip-hop emerging among Palestinian youth across the diaspora, as well as work focusing on the role of gender in the struggle for national liberation, there remains room for the examination of intersectionality and the role of the gendered body in Palestinian cultural resistance. This essay performs a textual analysis of Maysa Daw and DAM’s songs “Jasadik-hom” (“Your Body of Theirs”) and “Meen Inta” (“Who You Are”) to explore how the gendered body is experienced in Palestine, how resistance is enacted through the gendered body, and how the nation is negotiated via that resistance. As a Haifa born-and-raised Israeli-Palestinian musician and actress, Maysa Daw performs both solo and with the Palestinian community’s oldest and most popular rap ensemble, DAM. While Daw’s earlier solo work is engaged with discussions of personal freedom and the limits of individual aspiration in the context of occupation, her collaborations with DAM are more concerned with gender politics and the intersectional struggle of the gendered, Arab body in Palestine. In songs like “Jasadik-hom” and “Meen Inta,” Daw and DAM use their lyrics and the visual rhetoric of their music videos to both convey and scrutinize the intersectionality of oppression experienced by Palestinian women, positioning the discussion of gender equality and the gendered body’s liberation as integral to anti-colonial struggle and national liberation.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.013 | 0.028 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 0.003 |
| 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".