The aim of this paper is to analyze the emerging structures in work and the economy beyond the traditional concepts of work and society, adhering to the cognitive models and profiles of post-Fordism that forged representations, analyses and imaginations throughout a phase delimited by the economic crisis of the 2000s. The study aims to analyze the new forms of production of the algorithmic digital age, their functioning and impact on society. The theoretical perspective consists in using a renewed analysis of this productive dimension through a critical theoretical bias, thus drawing on an analytical approach based on the thinking and interpretation of automation, production and labor stemming from the ideas and work of Karl Marx. A critical theory for a new analysis of work and production by algorithms.
Plataformas, Sociedade e Estado: A Organização do Trabalho e Produção nas Plataformas Digitais de Trabalho / Lauande, Priscila; De Minicis, Massimo.. - In: REVISTA DIREITO DAS RELAÇÕES SOCIAIS E TRABALHISTAS. - ISSN 2446-8908. - 7:1(2021), pp. 83-104.
Plataformas, Sociedade e Estado: A Organização do Trabalho e Produção nas Plataformas Digitais de Trabalho
LAUANDE, Priscila
Co-primo
;De Minicis, Massimo.
Co-primo
2021
Abstract
The aim of this paper is to analyze the emerging structures in work and the economy beyond the traditional concepts of work and society, adhering to the cognitive models and profiles of post-Fordism that forged representations, analyses and imaginations throughout a phase delimited by the economic crisis of the 2000s. The study aims to analyze the new forms of production of the algorithmic digital age, their functioning and impact on society. The theoretical perspective consists in using a renewed analysis of this productive dimension through a critical theoretical bias, thus drawing on an analytical approach based on the thinking and interpretation of automation, production and labor stemming from the ideas and work of Karl Marx. A critical theory for a new analysis of work and production by algorithms.File | Dimensione | Formato | |
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