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Record W4288925052 · doi:10.33752/tjiss.v2i2.2387

An Evaluation on Ibrahim Madkur’s Critical Text Edition of Ibn Sīna’s Ash-Shifa’

2022· article· en· W4288925052 on OpenAlexaff
Ahmad Fathan Aniq

Bibliographic record

VenueTebuireng Journal of Islamic Studies and Society · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicMedieval and Classical Philosophy
Canadian institutionsMcGill University
Fundersnot available
KeywordsPolymathMetaphysicsCritical editionMagnum opusIslamIslamic philosophyClassicsNatural scienceLiteraturePhilosophyTraditional medicineArtTheologyEpistemologyMedicine

Abstract

fetched live from OpenAlex

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).

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.303
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.080
GPT teacher head0.332
Teacher spread0.252 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

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