Fatigati (2017)

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Fatigati, Michael. (2017) A Method for Reconstructing the Medieval Arabic Scientific Mosaic. Scientonomy 1, 19-28. Retrieved from https://www.scientojournal.com/index.php/scientonomy/article/view/27761.

Title A Method for Reconstructing the Medieval Arabic Scientific Mosaic
Resource Type journal article
Author(s) Michael Fatigati
Year 2017
URL https://www.scientojournal.com/index.php/scientonomy/article/view/27761
Journal Scientonomy
Volume 1
Pages 19-28

Abstract

There are good reasons to think that there was a body of truths generally accepted by the scientific community under Abbasid rule during the middle ages. However, the indicators initially established by the scientonomy community to guide us in reconstructing past mosaics are not applicable in the case of the medieval Arabic scientific mosaic. Instead, by attending to the particular way that knowledge was disseminated in this community, we can see the primacy of the concepts passed down in authoritative texts. It is proposed here that a good way of determining which texts, and therefore theories, were widely accepted would be by tracking the unique record of licenses to teach [ʾijāzāt] particular texts that exist from this period.

Suggested Modifications

Here are all the modifications suggested in Fatigati (2017):

  • Sciento-2017-0003: Accept that licenses to teach [ʾijāzāt] are reliable indicators of which texts were considered authoritative in the Medieval Arabic scientific mosaic (MASM) in c. 750-1258 CE in the Abbasid caliphate. Thus, a proposition can be said to be accepted in MASM if the evidence of the licenses to teach [ʾijāzāt] indicates so. The modification was suggested to Scientonomy community by Michael Fatigati on 27 January 2017.1 The modification is currently being evaluated; a verdict is pending.

References

  1. ^  Fatigati, Michael. (2017) A Method for Reconstructing the Medieval Arabic Scientific Mosaic. Scientonomy 1, 19-28. Retrieved from https://www.scientojournal.com/index.php/scientonomy/article/view/27761.

Contributors

Hakob Barseghyan (100.0%)