The History of Writing Reflects the Effects of Education on Discourse Structure: Implications for Literacy, Orality, Psychosis and the Axial Age.


Journal

Trends in neuroscience and education
ISSN: 2211-9493
Titre abrégé: Trends Neurosci Educ
Pays: Germany
ID NLM: 101613233

Informations de publication

Date de publication:
12 2020
Historique:
received: 30 06 2018
revised: 22 09 2020
accepted: 24 09 2020
entrez: 11 12 2020
pubmed: 12 12 2020
medline: 29 10 2021
Statut: ppublish

Résumé

Graph analysis detects psychosis and literacy acquisition. Bronze Age literature has been proposed to contain childish or psychotic features, which would only have matured during the Axial Age (∼800-200 BC), a putative boundary for contemporary mentality. Graph analysis of literary texts spanning ∼4,500 years shows remarkable asymptotic changes over time. While lexical diversity, long-range recurrence and graph length increase away from randomness, short-range recurrence declines towards random levels. Bronze Age texts are structurally similar to oral reports from literate typical children and literate psychotic adults, but distinct from poetry, and from narratives by preliterate preschoolers or Amerindians. Text structure reconstitutes the "arrow-of-time", converging to educated adult levels at the Axial Age onset. The educational pathways of oral and literate traditions are structurally divergent, with a decreasing range of recurrence in the former, and an increasing range of recurrence in the latter. Education is seemingly the driving force underlying discourse maturation.

Sections du résumé

BACKGROUND
Graph analysis detects psychosis and literacy acquisition. Bronze Age literature has been proposed to contain childish or psychotic features, which would only have matured during the Axial Age (∼800-200 BC), a putative boundary for contemporary mentality.
METHOD
Graph analysis of literary texts spanning ∼4,500 years shows remarkable asymptotic changes over time.
RESULTS
While lexical diversity, long-range recurrence and graph length increase away from randomness, short-range recurrence declines towards random levels. Bronze Age texts are structurally similar to oral reports from literate typical children and literate psychotic adults, but distinct from poetry, and from narratives by preliterate preschoolers or Amerindians. Text structure reconstitutes the "arrow-of-time", converging to educated adult levels at the Axial Age onset.
CONCLUSION
The educational pathways of oral and literate traditions are structurally divergent, with a decreasing range of recurrence in the former, and an increasing range of recurrence in the latter. Education is seemingly the driving force underlying discourse maturation.

Identifiants

pubmed: 33303107
pii: S2211-9493(20)30018-1
doi: 10.1016/j.tine.2020.100142
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

100142

Informations de copyright

Copyright © 2020 The Author(s). Published by Elsevier GmbH.. All rights reserved.

Auteurs

Sylvia Pinheiro (S)

Instituto do Cérebro, Universidade Federal do Rio Grande do Norte, Natal, Brazil.

Natália Bezerra Mota (NB)

Instituto do Cérebro, Universidade Federal do Rio Grande do Norte, Natal, Brazil.; Departamento de Física, Universidade Federal de Pernambuco, Recife, Brazil.

Mariano Sigman (M)

Laboratorio de Neurociencia, Universidad Torcuato Di Tella, Buenos Aires, Argentina.; CONICET (Consejo Nacional de Investigaciones Científicas y Técnicas), Argentina.; Facultad de Lenguas y Educación, Universidad Nebrija, Madrid, Spain.

Diego Fernández-Slezak (D)

Departamento de Computación, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina.; Instituto de Investigación en Ciencias de la Computación, CONICET, Universidad de Buenos Aires, Buenos Aires, Argentina.

Antonio Guerreiro (A)

Departamento de Antropologia, Universidade Estadual de Campinas, Campinas, Brazil.

Luís Fernando Tófoli (LF)

Departamento de Psicologia Médica e Psiquiatria, Universidade Estadual de Campinas, Campinas, Brazil.

Guillermo Cecchi (G)

Computational Biology Center - Neuroscience, IBM T.J. Watson Research Center, Yorktown Heights, USA.

Mauro Copelli (M)

Departamento de Física, Universidade Federal de Pernambuco, Recife, Brazil.. Electronic address: mcopelli@df.ufpe.br.

Sidarta Ribeiro (S)

Instituto do Cérebro, Universidade Federal do Rio Grande do Norte, Natal, Brazil.. Electronic address: sidartaribeiro@neuro.ufrn.br.

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