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Recolector de Ciencia Abierta, RECOLECTA
Part of book or chapter of book . 2021
License: CC BY NC ND
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https://doi.org/10.2307/j.ctv2...
Part of book or chapter of book . 2021 . Peer-reviewed
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ROMPIENDO ESTEREOTIPOS:

BREAKING STEREOTYPES:
Authors: González de Sande, Mercedes;

ROMPIENDO ESTEREOTIPOS:

Abstract

Adriana Assini, en sus novelas, se propone rescatar del olvido y rendir tributo a numerosos personajes históricos que la Historia ha maltratado, tergiversando sus vidas. Destacan, de manera especial, muchas mujeres de relieve histórico, cuyas existencias han acabado en los márgenes de la Historia oficial, hasta el punto de entrar a formar parte más del mito y la leyenda y convirtiéndose en protagonistas de todo tipo de manifestaciones artísticas, asociadas a los más despreciables estereotipos femeninos que la tradición misógina ha difundido y fomentado secularmente. Entre estas, Semíramis, Isabel Bathory, Inés Visconti y Juana I de Castilla, como se analiza en este estudio.

Grupo de Investigación Escritoras y Escrituras

Country
Spain
Related Organizations
Keywords

Adriana Assini, literatura italiana contemporánea, estudios de género, literatura del Siglo XX, novela histórica, escritoras italianas

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green