CONTEMPORARY ARAB MUSIC VIDEO CLIPS: BETWEEN SIMULATING MTV’S GENDER STEREOTYPES AND FOSTERING NEW ONES
Bibliographic record
Abstract
MTV was the first 24-hour cable network to continuously broadcast music videos in the 1980s, thus establishing the genre. Generally, Arab music video clips differ from Western-produced music videos, because artists are compelled to abide by the conservative cultural norms of Arab societies. However, most Arab music videos, particularly those produced in the last decade, reaffirm Western gender stereotypes intrinsic to those produced by MTV. Contemporary Arab music videos for the most part simulate an MTV aesthetic vocabulary of a gaze that features female sexuality and narratives of seduction. Some new Arab producers, nonetheless, have attempted to avoid reproducing MTV-based gender clichés, but have instead created new gender misconceptions. These productions emphasize depictions of women as untrustworthy and impetuous. Finally, I discuss how young Arab singers have constantly been confronted by the ire of regionally prominent religious figures who denounce the music videos’ endorsement of “anti-Islamic” principles. I contend that Stuart Hall and Paddy Whannel’s early analysis of reactions against popular music styles among British youth as a form of cultural transgression remains relevant to understanding the cultural style of Arab youth as expressed through popular musical performance.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| 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".