Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
It is a great privilege and honor for me to write a foreword to this volumean innovative exploration of the relationship between the aural/sonic arts and the visual/spatial arts in Muslim societies.Comprising contributions from scholars working in an array of disciplines, the collection examines how the sonic arts, such as music, shape and are shaped by the physical spaces in which they are performed.In so doing, it provides us with new perspectives on the dynamic relationship between various forms of art in cultural, sociopolitical, and religious spaces.More important, the volume's essays demonstrate how a multisensory approach-one that combines sound with built structure, music with architecture, time with space-can lead to a deeper and more nuanced understanding of Muslim cultures.Professor Mohammed Arkoun, the influential Arab intellectual, often called for audacious, free, and productive thinking about Islam and indeed Islamicate civilizations.He writes that our understandings of Islam as a religious phenomenon are woefully inadequate since we do not pay sufficient attention to a crucial element: "silent Islam."He defines "silent Islam" as "the Islam of true believers who attach more importance to the religious relationship with the absolute of God than to the vehement demonstrations of political movements."1Instead of focusing on this aspect, Professor Arkoun argues, scholarly discussions about Islam are monopolized by sociopolitical ideologies, such as Islamic revivalism.These, he claims, are in reality secular movements "disguised by religious discourse, rites, and collected behaviors."2Given Professor Arkoun's definition of "silent Islam," we may posit that these ideologies and their discourses of power, orthodoxy, and hege-
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.
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 | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 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 it