The Amplification of the Sunni-Shia Divide Through Contemporary Communications Technology
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
The Sunni-Shia divide has once more returned to the global popular lexicon. However, this contemporary form of the allegedly age-old schism within Islam in fact differs significantly from historical cases. It has primarily come to the fore again as various actors have invoked it, and the fear it brings, in order to frame the conflicts they currently wage both overtly and covertly in more favourable terms. The purpose of this chapter is to examine this phenomenon, with particular focus on the Syrian Civil War, and the wider regional struggles for hegemony. It will further look at how modern communication technologies have permitted actors to spread their narratives much more effectively than ever before, and how the international community might arrest the exacerbation of this divide, and slow the sectarian violence currently plaguing the region.
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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 | 0.004 |
| 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 it