Bibliographic record
Abstract
On a bright, sunny day in Hyderabad's Old City during Muharram in 2005, I was in the lane leading to the house of my mentor, the late Dr. Sadiq Naqvi, a historian of Persian literary and cultural history at Osmania University, as well as a renowned orator (zakir; "one who remembers") in the Muharram mourning assemblies.On the long, white-washed wall off Alava-e Sartauq Mubarak ʿashurkhanah, a centuries-old building where the metal standard containing a piece of the shackle that was placed around the neck of Imam Zain al-ʿAbidin -the only male survivor of the battle of Karbala, Iraq in 680 ce -is displayed throughout the year, I saw hanging a massive, black banner, so rich in visual and verbal detail that it stopped me in my tracks to stare at it for several minutes.The tableau presented by the banner, its subsidiary banners projecting below, as well as the artfully placed potted plants, compelled me to snap a photograph.Over the years, I have taken thousands of photographs of Muharram rituals, Shiʿi built space and devotional objects, and it is to the image of this banner that I return again and again (see Figure 0.01).Each chapter of Everyday Shiʿism in South Asia is informed and inflected by elements of this banner, whether it is ʿAbbas's ethic of care Introduction 1 Everyday Shiʿism in South Asia, First Edition.Karen G. Ruffle.
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 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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.515 | 0.275 |
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".