Gender Analysis in Contemporary Islamic Discourse
Bibliographic record
Abstract
Islamic jurisprudence is a dynamic system. It is facilitated by some flexible methodologies. Nowadays, there are varieties of issues in Muslims’ societies that are results or implications of developments in science and technology, and also results of changes that happen in the structures of the societies. In order to face this reality, a contemporary integrated approach has to be applied in Islamic Jurisprudence's research process. Hence, this paper will elaborate the integrated approaches that try to unify and integrate theories in Islamic jurisprudence with social research methods. Basically, there are models that have been introduced by several scholars that relate to this integrated approach. All of the models have their own strength and weakness in these approaches. This paper attempts to analyze the integration of Islamic jurisprudence theories with the gender analysis method and its relation to social critics methods. This is related to an issue in fiqh pertaining to polygamy that is always being debated nowadays and also to analyze the applicability of the practice in the social and contemporary conditions of our soceity.
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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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.006 | 0.020 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| 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".