Auf ein Miniaturbild klicken, um zu Google Books zu gelangen.
Lädt ... Scale, Space and Canon in Ancient Literary Culture (2020. Auflage)von Reviel Netz (Autor)
Werk-InformationenScale, space and canon in ancient literary culture von Reviel Netz
Keine Lädt ...
Melde dich bei LibraryThing an um herauszufinden, ob du dieses Buch mögen würdest. Keine aktuelle Diskussion zu diesem Buch. keine Rezensionen | Rezension hinzufügen
Greek culture matters because its unique pluralistic debate shaped modern discourses. This ground-breaking book explains this feature by retelling the history of ancient literary culture through the lenses of canon, space and scale. It proceeds from the invention of the performative 'author' in the archaic symposium through the 'polis of letters' enabled by Athenian democracy and into the Hellenistic era, where one's space mattered and culture became bifurcated between Athens and Alexandria. This duality was reconfigured into an eclectic variety consumed by Roman patrons and predicated on scale, with about a thousand authors active at any given moment. As patronage dried up in the third century CE, scale collapsed and literary culture was reduced to the teaching of a narrower field of authors, paving the way for the Middle Ages. The result is a new history of ancient culture which is sociological, quantitative, and all-encompassing, cutting through eras and genres. Keine Bibliotheksbeschreibungen gefunden. |
Aktuelle DiskussionenKeine
Google Books — Lädt ... GenresMelvil Decimal System (DDC)880.9Literature Greek and other Classical languages Greek literature History and criticism of Greek literatureKlassifikation der Library of Congress [LCC] (USA)BewertungDurchschnitt:
Bist das du?Werde ein LibraryThing-Autor. |
Unfortunately, Netz's quantitative analysis is marred by elementary and avoidable technical errors. The question then is how much this matters. Since he clearly knows what he is talking about, it is quite possible that his conclusions are correct even so. It is also possible that the quantitative data he has collected would also support his conclusions if differently [properly] handled.
But one would really need to start from the beginning, with a technically well-founded specification of the data to collect to address specific and well-posed research questions.
I think my main concern would be not with faulty analysis - which can be fixed, especially if the data still exists - but with faulty study design, so that the data collected may be insufficient in quantity or just of the wrong type to answer the questions ( )