A luta coletiva dos entregadores latino-americanos contra a pandemia do capitalismo – movimentos grevistas em tempos de covid-19

The objective of the article is to understand the repercussions of delivery workers’ strikes during the Covid-19 pandemic, with a focus on international strikes in Latin America and on the stoppages in Brazil. The justification for the theme relies on its topicality and relevance in dealing with such emergent social issues. As for research methods, bibliographical review and empirical documentary research are combined (based on the material related to the summoning of movements by workers and the propagation of these acts by means of information). In the introduction, the methodological delimitations of the analysis are defined, as well as the critical approach that is intended to understand the strikes in the context of deepening contradictions of the capitalist mode of production (with a focus on the capital-labor conflict). In turn, the presentation is divided into three axes of analysis: the first axis maps the first three international strikes in Latin America;the second focuses on the movements carried out in Brazil;and the third concerns a critical approach regarding uberization. In the conclusion, the research hypothesis is validated by the confirmation that a trend towards internationalization of the collective articulation of deliverers by digital platforms is underway. © 2021 The Authors.

Teoria crítica, sujeitos políticos e a situação brasileira: entrevista com Vladimir Safatle

Na manhã de 10 de janeiro de 2020, no anfiteatro da Université de Toulouse (Jean Jaurès), com olhos e ouvidos bem abertos, estudantes da França, do Brasil e de outras nacionalidades assistiam à conferência do filósofo Vladimir Safatle, professor da Universidade de São Paulo. No púlpito, ele comentava o significado da estruturação psíquica paranoica, tal como descrita por Freud, e como ela ganharia status de normalidade em determinados contextos sociais e políticos que hoje não nos são nada estranhos. Nem sequer desconfiávamos, no âmbito daquele conjunto de Conferências sobre as alianças entre neoliberalismo e autoritarismo na política contemporânea, da iminente crise sanitária, econômica e humanitária que estava por vir com o Covid-19. © 2020, Revista de Filosofia: Aurora. All Rights Reserved.

Machine learning analysis to predict health outcomes among emergency department users in southern brazil: A protocol study

Objective: Emergency services are essential to the organization of the health care system. Nevertheless, they face different operational difficulties, including overcrowded services, largely explained by their inappropriate use and the repeated visits from users. Although a known situation, information on the theme is scarce in Brazil, particularly regarding longitudinal user monitoring. Thus, this project aims to evaluate the predictive performance of different machine learning algorithms to estimate the inappropriate and repeated use of emergency services and mortality. Methods: To that end, a study will be conducted in the municipality of Pelotas, Rio Grande do Sul, with around five thousand users of the municipal emergency department. Results: If the study is successful, we will provide an algorithm that could be used in clinical practice to assist health professionals in decision-making within hospitals. Different knowledge dissemination strategies will be used to increase the capacity of the study to produce innovations for the organization of the health system and services. Conclusion: A high performance predictive model may be able to help decision-making in the emergency services, improving quality of care.