Covid-19 and the Clash of Narratives: From Cold War to End of Time (1989-2023)
Bibliographic record
Abstract
This paper discusses the impact of Covid-19 on Islamist narratives of end time scenarios that predict the annihilation of a corrupted world and its ultimate replacement by a world order based exclusively on Islam. It does this against the backdrop of Islam’s antagonistic relationship with the West, particularly from the ending of the Cold War in the early 1990s to the present day, a relationship conducted within the shadow of the US’s attempts to establish a new world order based exclusively on its own values and interests. In the light of the contrary predictions of Francis Fukuyama that the resulting Pax Americana will bring a century of peace and S. P. Huntington a century of conflict, the paper goes on to examine the vastly different world views of the United States on the one hand and Al Qaeda and Islamic State on the other and how they envisage the future unfolding. What the paper shows is that the advent of Covid-19 has served not only to convince traditional Islamic Scholars that Al Mahama, the great battle at the end of time, is well on the way and may even have started, but also to make Muslims in the streets more receptive to such a doomsday message.
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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 | 0.006 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.023 | 0.020 |
| Scholarly communication | 0.010 | 0.009 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".