Assessing Muslim Higher Education and Training Institutions (METIs) and Islamic Studies Provision in Universities in Britain: An Analysis of Training Provision for Muslim Religious Leadership after 9/11
Bibliographic record
Abstract
The training of Imams and Muslim religious leaders has received much interest in the post-9/11 era, resulting in a vast amount of research and publications on the topic. The present work explores this literature with the aim of analysing key debates found therein. It finds that throughout the literature there is a pervasive demand for reform of the training and education provided by Muslim higher education and training institutions (METIs) and Islamic studies programmes at universities in the shape of a synthesis of the two pedagogic models. Such demands are founded on the claim that each is lacking in the appositeness of its provision apropos of the British Muslim population. This article calls for an alternative approach to the issue, namely, that the university and the METI each be accorded independence and freedom in its pedagogic ethos and practice (or else risk losing its identity), and a combined education from both instead be promoted as a holistic training model for Muslim religious leadership.
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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 | 0.003 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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, 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".