<i>God, Science, and Self: Muhammad Iqbal’s Reconstruction of Religious Thought</i> By Nauman Faizi
Bibliographic record
Abstract
Journal Article God, Science, and Self: Muhammad Iqbal's Reconstruction of Religious Thought By Nauman Faizi Get access God, Science, and Self: Muhammad Iqbal's Reconstruction of Religious Thought By Nauman Faizi (Montreal & Kingston: McGill-Queen's University Press, 2021. McGill-Queen's Studies in Modern Islamic Thought), ix + 166 pp. Price PB $26.50. EAN 978–0228006596. H C Hillier H C Hillier Cape Breton University E-mail: harold_hillier@cbu.ca Search for other works by this author on: Oxford Academic Google Scholar Journal of Islamic Studies, etad037, https://doi.org/10.1093/jis/etad037 Published: 03 August 2023
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| 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".