平台化的辩证法

Maxim A. Shatkin
{"title":"平台化的辩证法","authors":"Maxim A. Shatkin","doi":"10.18500/1819-7671-2023-23-1-40-44","DOIUrl":null,"url":null,"abstract":"Introduction. In the presented article the analysis of the phenomenon of platformization with the use of the dialectical method was carried out. Theoretical analysis. The premise of platformization is the identity of the idea and the business model, as well as value and cost. The starting point for the movement of the idea of platformization is the request (of the subject to the platform and back), inseparably connected with its opposite – the access. The synthesis of request and access is seduction as an appeal to make requests to gain access to benefits which in fact turn out to be imaginary. The revealed reality of seduction, which seeks guaranteed and predictable results, is grasped by the notion of surveillance. Surveillance is implemented in the quantitative analysis of the subject’s behavior to calculate the probability of his behavior and to increase it through immersiveness, which allows to collect as much data as possible, and learning. For a subject, learning is a requirement for the constant acquisition of new behavior patterns and is a value without cost, i.e., a form of alienation of the subject from public good. For platforms, learning refers to the acquisition of data-in-themselves-and-for-themselves-being in machine intelligence. Conclusion. Machine intelligence today is an incomplete stage of platformization without pronounced internal moments, so the dialectical analysis should stop at this stage.","PeriodicalId":252065,"journal":{"name":"Izvestiya of Saratov University. Philosophy. Psychology. Pedagogy","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The dialectics of platformization\",\"authors\":\"Maxim A. Shatkin\",\"doi\":\"10.18500/1819-7671-2023-23-1-40-44\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Introduction. In the presented article the analysis of the phenomenon of platformization with the use of the dialectical method was carried out. Theoretical analysis. The premise of platformization is the identity of the idea and the business model, as well as value and cost. The starting point for the movement of the idea of platformization is the request (of the subject to the platform and back), inseparably connected with its opposite – the access. The synthesis of request and access is seduction as an appeal to make requests to gain access to benefits which in fact turn out to be imaginary. The revealed reality of seduction, which seeks guaranteed and predictable results, is grasped by the notion of surveillance. Surveillance is implemented in the quantitative analysis of the subject’s behavior to calculate the probability of his behavior and to increase it through immersiveness, which allows to collect as much data as possible, and learning. For a subject, learning is a requirement for the constant acquisition of new behavior patterns and is a value without cost, i.e., a form of alienation of the subject from public good. For platforms, learning refers to the acquisition of data-in-themselves-and-for-themselves-being in machine intelligence. Conclusion. Machine intelligence today is an incomplete stage of platformization without pronounced internal moments, so the dialectical analysis should stop at this stage.\",\"PeriodicalId\":252065,\"journal\":{\"name\":\"Izvestiya of Saratov University. Philosophy. Psychology. Pedagogy\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-03-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Izvestiya of Saratov University. Philosophy. Psychology. Pedagogy\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.18500/1819-7671-2023-23-1-40-44\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Izvestiya of Saratov University. Philosophy. Psychology. Pedagogy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18500/1819-7671-2023-23-1-40-44","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

介绍。本文运用辩证的方法对平台化现象进行了分析。理论分析。平台化的前提是理念和商业模式的认同,以及价值和成本的认同。平台化思想运动的出发点是(主体对平台和对平台的)请求,与它的对立面——访问——不可分割地联系在一起。请求和获取的综合是引诱,作为一种呼吁,提出请求以获得实际上是虚构的利益。诱惑所揭示的现实,寻求保证和可预测的结果,被监视的概念所掌握。监控是在对受试者行为进行定量分析的过程中实施的,以计算其行为的概率,并通过沉浸性来增加其概率,从而可以收集尽可能多的数据,并进行学习。对于一个主体来说,学习是不断获得新的行为模式的必要条件,是一种没有成本的价值,即主体与公共利益的一种异化形式。对于平台来说,学习是指在机器智能中获取自我存在和为自己存在的数据。结论。今天的机器智能是一个不完整的平台化阶段,没有明显的内部时刻,所以辩证的分析应该停止在这个阶段。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The dialectics of platformization
Introduction. In the presented article the analysis of the phenomenon of platformization with the use of the dialectical method was carried out. Theoretical analysis. The premise of platformization is the identity of the idea and the business model, as well as value and cost. The starting point for the movement of the idea of platformization is the request (of the subject to the platform and back), inseparably connected with its opposite – the access. The synthesis of request and access is seduction as an appeal to make requests to gain access to benefits which in fact turn out to be imaginary. The revealed reality of seduction, which seeks guaranteed and predictable results, is grasped by the notion of surveillance. Surveillance is implemented in the quantitative analysis of the subject’s behavior to calculate the probability of his behavior and to increase it through immersiveness, which allows to collect as much data as possible, and learning. For a subject, learning is a requirement for the constant acquisition of new behavior patterns and is a value without cost, i.e., a form of alienation of the subject from public good. For platforms, learning refers to the acquisition of data-in-themselves-and-for-themselves-being in machine intelligence. Conclusion. Machine intelligence today is an incomplete stage of platformization without pronounced internal moments, so the dialectical analysis should stop at this stage.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信