Bibliographic record
Abstract
Awakening – an Islamic media company formed in London – has created the soundtrack to many Muslim lives during the last two decades and has produced superstars like Sami Yusuf and Maher Zain, among a host of other artists. As the company celebrates its first 20 years in the industry, the book examines Awakening’s rise to global success and their pop music inspired by Islam. Providing the first thorough description of the history and development of new Islamic popular music genres, in particular pop-nashid and Islamic pop, this book argues that Awakening is best understood in relation to the ethical turn in Islamic thinking. In analysing the turn to ethics, the book explores how the Islamic pop industry is, in effect, altering the very formulations of Islamic thought. Closely examining the ethical masculinity of the Awakening artists, alongside their personas in songs, on stage and via social media, the book analyses how popular culture and the creative arts challenge and help change Islamic (re)thinking. The author has been on tour with Awakening artists, analysed the media output by the company and interviewed artists, the Awakening founders, video directors and other key people in the business.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".