An Analysis of Ibn-Khaldun’s Theory in light of Covid-19 Pandemic
Bibliographic record
Abstract
This argumentative paper presents a new perspective on Ibn-khaldun’s theory of social change in light of Covid-19. It argues that when examining the theory, it can be found that it makes an association between social change and natural factors, such as epidemics and human factors, such as government changes. The target theory which is explored in this study is the cyclical theory of Ibn-khaldun. This study adopts the former theory in order to analyze the effects of Covid-19 on the Arab-Islamic society, and how this theory was able to predict many of the current events and possible future events using social and historical approaches. The paper consists of four parts as follows: First, an overview of Ibn-khaldun’s theory of social change and its philosophy is provided. Second, the role of human factors in social change according to Ibn-khaldun is explored. Third, natural factors affecting social change according to Ibn-khaldun are discussed. Finally, the impact of Covid-19 on our way of life in relation to Ibn-khaldun’s theory of social change is examined.
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How this classification was reachedexpand
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 | 0.001 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".