Bibliographic record
Abstract
THE TRANSMISSION OF THE GREEK LEGACY TO THE ARAB WORLD: AN OUTLINE It is widely acknowledged that the origins of Arabic-Islamic philosophy are to be found in the transmission of a great amount of texts both from classical Greece – some Plato and virtually the whole of the Aristotelian corpus – and post-classical Greek thought, from Hellenism to late antiquity. In this chapter, we shall see that post-classical thought has been of momentous importance in the Arab interpretation of Plato’s and Aristotle’s doctrines. Predictably, the transmission of their works was made possible through the spread of classical Greek philosophy in the Mediterranean area during the Hellenistic and imperial ages, and then again through the scholastic tradition of late antiquity. However, post-classical thought was decisive for the rise of Islamic philosophy even from a more substantial point of view: the main problems dealt with by Muslim philosophers can be understood only against the background of the rethinking of Plato and Aristotle which took place in the imperial age, chiefly thanks to Alexander of Aphrodisias and Plotinus. Furthermore, the systematic structure into which Aristotle’s doctrines were moulded in the curricular teaching in the schools of late antiquity paved the way for their transmission to Latin and Arabic thought.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.010 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".