Arguing Islamophobia during COVID-19 Outbreaks: A Consideration Using Khuṣūṣ Al-Balwᾱ
Why this work is in the frame
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Bibliographic record
Abstract
The threat of Islamophobia continues to surface. The latest is related to COVID-19. Islam considered as the source of the virus suddenly went viral, even with the hashtag #coronajihad. The implementation of religious rituals by ignoring social distance by certain groups can be one of the triggers besides propaganda and conspiracy from anti-Islam. This article aims to provide an argument against Islamophobia with consideration of Khusus Al Balwa. The approach used is a combination of normative and empirical facts amid the heterogeneity of Muslims during the pandemic. An interesting finding from this research shows that khusus al-balwa is a concept that Muslims need amid co-19 hegemony, especially in terms of providing a complex understanding to present a calming Islam rather than a threat. In reality, khusus al-balwa happened a lot amid the pluralism of Muslims to prevent the outbreak of Islamophobia amid co-19 issues. Consideration of khusus al balwa contribute to prevent the negative stigma that could harass verbally and physically to the muslem. In fact, the special concept of al-balwa has not been much studied by observers of Islamic law which is covered because of the 'fame' of ‘umum al-balwa. Khusus al-balwa has not been fully taken into consideration by the Mufti, both individuals, and institutions in bringing forth fatwa products.
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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 | 0.002 |
| 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) | 0.000 | 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