“Blur the Preacher”: Media Remix and Digital Technocultural Practice in Pakistan”
Bibliographic record
Abstract
Abstract This paper explores the transformative effect of remix practices on media production in Pakistan, focusing on the integration of Internet memes, Islamic religious sermons, and political speeches in novel cultural critiques. Using Critical Technocultural Discourse Analysis, it is observed that digital remix tools enable the incorporation of typically Islamically censured media elements, including Western electronic music samples, local controversial memes, and digitally available Muslim devotional content. These are creatively remixed into YouTube videos that often go viral, representing alternative Pakistani Muslim identities. The study argues that this negotiation generates a digital media environment open to sampling diverse media content, creating unprecedented meanings that challenge traditional regional media production norms. The values and meanings ascribed to these remixes are then analyzed, probing their influence on shaping audience perceptions. In conclusion, media remix is presented as a particular competency, acquired through participation in the constrained yet networked digital media environment of Pakistan.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".