FĀRĀBĪ HAD AN ARABIC TRANSLATION OF PTOLEMY’S HARMONICS, AND HE READ IT VERY CAREFULLY
Bibliographic record
Abstract
Abstract Fārābī had an Arabic translation of Ptolemy’s Harmonics and was deeply immersed in it. The evidence is internal to Kitāb al-Mūsīqā al-kabīr . A passage can be found at the end of the first book of the madḫal in which Ptolemy is mentioned by name and his treatise on music also receives explicit mention. The puzzle is that, according to Fārābī, Ptolemy acknowledges directly in the Harmonics that he could not discriminate different patterns of attunement by ear, but Ptolemy nowhere makes any comment about his level of musicianship. The best way to understand Fārābī’s puzzling claim is as an inference from Ptolemy’s attempt to disprove Aristoxenus’ argument that the fourth is equal to two and a half tones. The paper argues that the inference is plausible, that Fārābī drew it and that he could not have drawn it without being intimately familiar with Ptolemy’s Harmonics .
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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 | 0.001 | 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 | 0.001 | 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".