Situating Public Speaking: The Politics and Poetics of the Digital Islamic Sermons in Bangladesh
Bibliographic record
Abstract
Research on public speaking has recently made fair progress within the CSCW scholarship that mostly focuses on training speakers to gain popularity. Core to this research is the idea of a universal set of skills that makes a public speech successful in terms of popularity. However, a strand of research has also shown skepticism to this simplistic conceptualization of the speaking context. We join this discussion by presenting a mix of qualitative and quantitative analyses of Islamic preaching videos on YouTube. These videos are created from Islamic sermons -- a form of Islamic religious public speaking in Bangladesh. By exploring the topics of discussion by the preachers and by analyzing the performances of the preachers during the sermons, we demonstrate how those are situated in their social, political, and religious context. Based on our findings, we discuss how the public speaking scholarship of CSCW and related fields could benefit from studying such public speeches in non-secular contexts of the Global South. Further, we discuss how the role of such religious sermons could contribute to the development discourse within CSCW.
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.011 | 0.012 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".