Bibliographic record
Abstract
“Al-Mutawwal” by Al-Taftāzānī (1322-1390), a Muslim Persian polymath, is a magnum opus on grammar, rhetoric, theology, logic, law and Qur’ānic exegesis. This linguistic work has been annotated and commented upon by numerous scholars. The present paper provides methodological characteristics of the annotation of “Al-Mutawwal” by Abdul Ḥakīm Siālkotī (1560-1657), a Muslim logician and philosopher of subcontinent and a friend and class fellow of renowned Indian scholar and Sufi Mujaddid Alf-e-Thānī Sheik Ahmad Sirhindī (1564-1624). It concludes that Siālkotī’s method is systematic and logical; he relies on original sources in rhetoric, grammar, language and literature. He has kept accuracy and honesty in mind while transmitting scholars’ opinions. His approach is characterized by freedom of opinion, extrapolation, scholarly circumspection and comprehensiveness. That’s why the referred annotation has been welcomed by the students and scholars of the relevant sciences across the globe.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.992 | 0.977 |
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; both teacher heads agree on what is shown here.
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".