Post-Islamism and Intellectual Production: A Bibliometric Analysis of the Evolution of Contemporary Islamic Thought
Bibliographic record
Abstract
The advent of the 1990s marked, among other things, the restructuring of the Muslim world in its relation to Islam. This new context has proved to be extremely favorable to the emergence of scholars who define themselves as reformists or modernists. They have dedicated themselves to reform in Islam based on the values of peace, human rights, and secular governance. One can find an example of this approach in the works of renowned intellectuals such as Farid Esack, Mohamed Talbi, or Mohamed Arkoun, to name a few. However, the question of Islamic reform has been debated during the 19th and 20th centuries. This article aims to comprehend the historical evolution of contemporary reformist thinkers in the scientific field. The literature surrounding these intellectuals is based primarily on content analysis. These approaches share a type of reading that focuses on the interaction and codetermination of religious interpretations rather than on the relationships and social dynamics that constitute them. Despite these contributions, it seems vital to question this contemporary thinking differently: what influence does the context of post-Islamism have on the emergence of this intellectual trend? What connections does it have with the social sciences and humanities? How did it evolve historically? In this context, the researchers will analyze co-citations in representative samples to illustrate the theoretical framework in which these intellectuals are located, and its evolution. Using selected cases, this process will help us to both underline the empowerment of contemporary Islamic thought and the formation of a real corpus of works seeking to reform Islam.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | Bibliometrics Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | high |
| gpt | Bibliometrics Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Other design | high |
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 | 0.005 | 0.035 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.091 | 0.163 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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, unvalidatedLabeled directly by 2 models reading the full record.
The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.
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".