An Evaluation on Ibrahim Madkur’s Critical Text Edition of Ibn Sīna’s Ash-Shifa’
Bibliographic record
Abstract
Ibn Sīnā is one of the prominent scholars in the Muslim scientific world. In the West, he is well known as Avicenna. As a polymath, he wrote many books in a broad range of sciences. Al-Qānūn fī aṭ-Tibb (the Canon of Medicine) and Kitāb Ash-Shifā’ (the Boook of Healing) are considered to be his magnum opuses. While the former is his greatest work on medicine, the latter is his monumental contribution to science and philosophy. Kitāb Ash-Shifā’ is concerned with four main subjects: logic (al-manṭiq), natural sciences (aṭ-ṭabi’iyāt), mathematics (ar-Riyaḍiyāt), and metaphysics or theology (al-Ilāhiyāt).
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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 | 0.007 | 0.030 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.007 | 0.007 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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".