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Statistical capacity development and the production of epistemic infrastructures 统计能力的发展和知识基础设施的建立
IF 9.3 1区 社会学 Q1 POLITICAL SCIENCE Pub Date : 2022-07-14 DOI: 10.1093/polsoc/puac023
Marlee Tichenor
Designating statistical capacity development as a target for measurement in the Sustainable Development Goals (SDGs) created a dilemma for statistical decision-makers in the United Nations system, as some saw the inclusion of statistical capacity in SDG17 as a “conflict of interest,” making their work both a goal of the SDGs and a means to achieve them. In 2022, there are five indicators for measuring both the statistical capacity of individual countries and the support provided to strengthen it, including one indicator for measuring a country’s ability to monitor the SDGs themselves. In this article, I argue that the epistemic infrastructuring of statistical capacity into the SDG framework is a privileged case. By parsing the interconnections between the data, actors, networks, and processes that constitute statistical capacity on national and global levels, we can understand how central these materialities and processes are in constituting the larger policy agenda of the SDGs as well as debates over the problems that statistical capacity is meant to solve. Like all indicators in the SDG framework, statistical capacity indicators are performative – defined and delineated by the global statistics community that also helps define and delineate the SDG framework’s development problems. Unlike other indicators, however, statistical capacity indicators have the added weight of also producing the conditions of possibility for the “SDG framework itself.” In this way, debates over what constitutes statistical capacity and its strengthening are also debates about ownership of policy agendas and where tensions between the local and global erupt.
将统计能力建设作为可持续发展目标(sdg)的衡量指标,给联合国系统的统计决策者带来了两难境地,因为一些人认为将统计能力纳入SDG17是一种“利益冲突”,使他们的工作既是可持续发展目标的目标,也是实现这些目标的手段。2022年,有五个指标用于衡量各国的统计能力和为加强统计能力而提供的支持,其中一个指标用于衡量一国监测可持续发展目标本身的能力。在本文中,我认为将统计能力的认知基础设施纳入可持续发展目标框架是一个特殊案例。通过分析构成国家和全球层面统计能力的数据、行动者、网络和进程之间的相互联系,我们可以了解这些材料和过程在构成可持续发展目标更大的政策议程方面的核心地位,以及对统计能力旨在解决的问题的辩论。与可持续发展目标框架中的所有指标一样,统计能力指标是实绩指标——由全球统计界定义和描述,这也有助于定义和描述可持续发展目标框架的发展问题。然而,与其他指标不同的是,统计能力指标还具有为“可持续发展目标框架本身”创造可能性条件的附加权重。这样,关于什么是统计能力及其加强的辩论也是关于政策议程所有权的辩论,也是地方和全球之间紧张局势爆发的地方。
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引用次数: 3
Governance and societal impact of blockchain-based self-sovereign identities 基于区块链的自我主权身份的治理和社会影响
IF 9.3 1区 社会学 Q1 POLITICAL SCIENCE Pub Date : 2022-06-13 DOI: 10.1093/polsoc/puac018
Rachel Benchaya Gans, J. Ubacht, M. Janssen
Traditionally, governments and companies store data to identify persons for services provision and interactions. The rise of self-sovereign identities (SSIs) based on blockchain technologies provides individuals with ownership and control over their personal data and allows them to share their data with others using a sort of “digital safe.” Fundamentally, people have the sole ownership of their identity data and control when and how it is shared, protecting their privacy. As these data need to be validated to be trusted, they may become a more important data source for digital information sharing and transactions than the formal source of identity controlled by governments. Furthermore, SSIs can be used for interacting digitally with any organization. These developments change the relationship between government, companies, and individuals. We explore information sharing and governance in the digital society using blockchain-based SSIs. In addition, the impact of SSIs on data storage in the digital world is assessed. Technology enactment might result in no greater control or privacy and might only reinforce current practices. Finally, we argue that regulation and a combination of centralized and decentralized governance are still required to avoid misuse and ensure that envisaged benefits are realized.
传统上,政府和公司存储数据是为了识别提供服务和交互的人员。基于区块链技术的自我主权身份(ssi)的兴起为个人提供了对其个人数据的所有权和控制权,并允许他们使用一种“数字安全”与他人共享数据。从根本上说,人们对自己的身份数据拥有唯一的所有权,并控制何时以及如何共享这些数据,从而保护了他们的隐私。由于这些数据需要经过验证才能被信任,因此它们可能成为数字信息共享和交易的更重要数据源,而不是由政府控制的正式身份来源。此外,ssi可以用于与任何组织进行数字交互。这些发展改变了政府、公司和个人之间的关系。我们利用基于区块链的ssi探索数字社会中的信息共享和治理。此外,还评估了ssi对数字世界中数据存储的影响。技术法规可能不会带来更大的控制或隐私,而可能只会加强当前的做法。最后,我们认为仍然需要监管以及集中和分散治理的结合,以避免滥用并确保实现设想的利益。
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引用次数: 3
COVID-19, crisis responses, and public policies: from the persistence of inequalities to the importance of policy design 2019冠状病毒病、危机应对和公共政策:从不平等的持续存在到政策设计的重要性
IF 9.3 1区 社会学 Q1 POLITICAL SCIENCE Pub Date : 2022-05-18 DOI: 10.1093/polsoc/puac021
D. Béland, A. He, M. Ramesh
The coronavirus (COVID-19) pandemic has once again highlighted the importance of social inequalities during major crises, a reality that has clear implications for public policy. In this introductory article to the thematic issue of Policy and Society on COVID-19, inequalities, and public policies, we provide an overview of the nexus between crisis and inequality before exploring its importance for the study of policy stability and change, with a particular focus on policy design. Here, we stress the persistence of inequalities during major crises before exploring how the COVID-19 pandemic has highlighted the need to focus on these inequalities when the time comes to design policies in response to such crises. Paying close attention to the design of these policies is essential for the study of, and fight against, social inequalities in times of crisis. Both during and beyond crises, policy design should emphasize tackling with inequalities. This is the case because current design choices shape future patterns of social inequality.
冠状病毒(COVID-19)大流行再次凸显了重大危机期间社会不平等的重要性,这一现实对公共政策具有明显影响。本文是《政策与社会》关于2019冠状病毒病、不平等与公共政策专题的介绍性文章,我们概述了危机与不平等之间的联系,然后探讨其对政策稳定性和变化研究的重要性,并特别关注政策设计。在此,我们强调在重大危机期间不平等现象的持续存在,然后探讨2019冠状病毒病大流行如何突出表明,在制定应对此类危机的政策时,需要关注这些不平等现象。密切关注这些政策的设计对于在危机时期研究和对抗社会不平等至关重要。无论是在危机期间还是危机之后,政策设计都应强调解决不平等问题。这是因为当前的设计选择塑造了未来社会不平等的模式。
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引用次数: 9
Maintaining trust in a technologized public sector 保持对技术化公共部门的信任
IF 9.3 1区 社会学 Q1 POLITICAL SCIENCE Pub Date : 2022-05-17 DOI: 10.1093/polsoc/puac019
Balázs Bodó, H. Janssen
Emerging technologies permeate and potentially disrupt a wide spectrum of our social, economic, and political relations. Various state institutions, including education, law enforcement, and healthcare, increasingly rely on technical components, such as automated decision-making systems, e-government systems, and other digital tools to provide cheap, efficient public services, and supposedly fair, transparent, disinterested, and accountable public administration. The increased interest in various blockchain-based solutions from central bank digital currencies, via tokenized educational credentials, and distributed ledger-based land registries to self-sovereign identities is the latest, still mostly unwritten chapter in a long history of standardized, objectified, automated, technocratic, and technologized public administration. The rapid, (often) unplanned, and uncontrolled technologization of public services (as happened in the hasty adoption of distance-learning and teleconferencing systems during Corona Virus Disease (COVID) lockdowns) raises complex questions about the use of novel technological components, which may or may not be ultimately adequate for the task for which they are used. The question whether we can trust the technical infrastructures the public sector uses when providing public services is a central concern in an age where trust in government is declining: If the government’s artificial intelligence system that detects welfare fraud fails, the public’s confidence in the government is ultimately hit. In this paper, we provide a critical assessment of how the use of potentially untrustworthy (private) technological systems including blockchain-based systems in the public sector may affect trust in government. We then propose several policy options to protect the trust in government even if some of their technological components prove fundamentally untrustworthy.
新兴技术渗透并潜在地破坏了我们广泛的社会、经济和政治关系。包括教育、执法和医疗保健在内的各种国家机构越来越依赖技术组件,如自动决策系统、电子政务系统和其他数字工具,以提供廉价、高效的公共服务,以及所谓的公平、透明、公正和负责任的公共管理。人们对各种基于区块链的解决方案的兴趣越来越大,从中央银行数字货币,到通证化的教育证书,再到基于分布式账本的土地登记,再到自我主权身份,这是标准化、客观化、自动化、技术官僚化和技术化公共管理的漫长历史中最新的、仍然大部分未写的篇章。公共服务的快速、(通常)无计划和不受控制的技术化(如在冠状病毒病(COVID)封锁期间仓促采用远程学习和电话会议系统所发生的情况)引发了关于使用新技术组件的复杂问题,这些组件最终可能适合也可能不适合所使用的任务。在一个对政府信任度下降的时代,我们能否信任公共部门在提供公共服务时使用的技术基础设施是一个核心问题:如果政府检测福利欺诈的人工智能系统失灵,公众对政府的信心最终会受到打击。在本文中,我们对公共部门使用可能不值得信任的(私人)技术系统(包括基于区块链的系统)可能如何影响对政府的信任进行了批判性评估。然后,我们提出了几个政策选择,以保护对政府的信任,即使他们的一些技术组件被证明从根本上不值得信任。
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引用次数: 3
The education sustainable development goal and the generative power of failing metrics 教育可持续发展目标和失败指标的生成力
IF 9.3 1区 社会学 Q1 POLITICAL SCIENCE Pub Date : 2022-05-16 DOI: 10.1093/polsoc/puac020
Sotiria Grek
The article traces the development of the epistemic infrastructure of the education sustainable development goal (SDG) in order to examine the ways that the incremental buildup of the discourse, technical expertise, and necessary—although always fragile—alliances facilitated a paradigmatic policy shift in the field of education: This is the move from the measurement of schooling to the measurement of learning. Through an analytical lens that examines the entanglement of the material, semiotic, and political and temporal/spatial elements of the infrastructure, the article shows how the sustainable development goal 4 (SDG4) as an epistemic infrastructure enabled a fundamental reorientation in the field of global education governance. The article discusses the ways that quantification, despite—and often thanks to—its failings, folded contested discourses, decision-making, politics, and ideas into its processes. Thus, the paper argues that the making of the SDG4 represents a paradigmatic policy shift; one that is not only to be traced in the move from schooling to the policy prioritization of learning outcomes but also in the very production of global public policy through the work of the SDGs as epistemic infrastructures.
本文追溯了教育可持续发展目标(SDG)的认知基础设施的发展,以考察话语、技术专长和必要的(尽管总是脆弱的)联盟的逐步积累如何促进了教育领域的范式政策转变:这是从学校教育的衡量向学习的衡量的转变。通过分析基础设施的材料、符号学、政治和时间/空间因素的纠缠,本文展示了可持续发展目标4 (SDG4)作为一种认知基础设施如何在全球教育治理领域实现根本性的重新定位。这篇文章讨论了量化的方式,尽管——而且往往要感谢——它的失败,将有争议的话语、决策、政治和思想融入到它的过程中。因此,本文认为,可持续发展目标4的制定代表了一种典型的政策转变;这不仅体现在从学校教育到学习成果的政策优先顺序的转变中,也体现在通过可持续发展目标作为认知基础设施的工作来制定全球公共政策的过程中。
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引用次数: 2
Producing decent work indicators: contested numbers at the ILO 制定体面工作指标:国际劳工组织有争议的数字
IF 9.3 1区 社会学 Q1 POLITICAL SCIENCE Pub Date : 2022-04-29 DOI: 10.1093/polsoc/puac017
J. Berten
The article investigates the production of decent work indicators within the ILO, to demonstrate that developing measurement infrastructures in global policymaking requires political work. The concept of decent work responds to the perceived marginalization of the ILO in social and labor policy and was supposed to provide a new unifying normative framework for the organization. The article shows that creating decent work indicators encountered challenges due to its highly politicized production process. Proponents of quantification (mostly workers’ representatives) and opponents (mostly employers’ representatives) disagreed about the function of indicators: should they be country-specific or allow for universal assessment of progress from above. In effect, although indicators of decent work have been integrated into the Sustainable Development Goals—mostly as part of goal no. 8, many are still incomplete. As a result, the indicators did not establish a “framework of assessment,” which would have been guided by universal standards of progress allowing the ILO to “govern at a distance,” and could not initiate a paradigmatic policy shift, impeding the infrastructuralization of measurement. Theoretically, the article advances our understanding of policy formulation and design on the transnational level by showing the political foundation of knowledge-based instruments. Empirically, it rests on a Grounded Theory-based analysis of key ILO documents, including Governing Body minutes, conference and expert meeting reports, and official publications, mainly from the period from 1998 to 2015.
本文调查了国际劳工组织内体面工作指标的产生,以证明在全球政策制定中发展衡量基础设施需要政治工作。体面工作的概念反映了劳工组织在社会和劳工政策方面被边缘化的情况,本应为该组织提供一个新的统一的规范框架。文章表明,由于其高度政治化的生产过程,创造体面劳动指标遇到了挑战。量化的支持者(主要是工人代表)和反对者(主要是雇主代表)在指标的功能上存在分歧:它们是针对具体国家的,还是允许从上面对进展进行普遍评估。事实上,尽管体面工作指标已被纳入可持续发展目标——主要是作为目标1的一部分。许多仍未完成。结果,这些指标没有建立一个“评估框架”,该框架本应以允许国际劳工组织“远距离治理”的普遍进展标准为指导,也无法启动范式政策转变,阻碍了衡量的基础设施化。从理论上讲,本文通过展示以知识为基础的工具的政治基础,促进了我们对跨国层面政策制定和设计的理解。从经验上看,它基于对国际劳工组织主要文件的扎根理论分析,包括1998年至2015年期间的理事机构会议纪要、会议和专家会议报告以及官方出版物。
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引用次数: 0
Global public policy in a quantified world: Sustainable Development Goals as epistemic infrastructures 量化世界中的全球公共政策:作为认知基础设施的可持续发展目标
IF 9.3 1区 社会学 Q1 POLITICAL SCIENCE Pub Date : 2022-04-27 DOI: 10.1093/polsoc/puac015
Marlee Tichenor, Sally E Merry, Sotiria Grek, Justyna Bandola-Gill
Despite the multiplicity of actors, crises, and fields of action, global public policy has known one constant, that is, the ubiquity of indicators in the production of governing knowledge. This article theoretically engages with the phenomenon of hyper-quantification of global governance in the context of the 17 Sustainable Development Goals (SDGs), debated and introduced in 2015. Increasingly metrics—such as indicators and quantified data to monitor targets and goals—are no longer just tools of governance but rather are emblematic of the new types of political cultures, enabling an interplay of material, techno-political, and organizational structures within which (statistical) knowledge is produced, disseminated, and translated into global public policy. The paper unpacks this complexity by proposing a new theoretical approach to quantification as an “epistemic infrastructure,” which emerges across three levels: materialities (such as data and indicators), interlinkages (such as networks and communities), and paradigms (such as new ways of doing policy work). Using the lens of the “epistemic infrastructure” on the SDGs, this article and the others in this special issue analyze the ways that quantified knowledge practices—in widely varying policy arenas, scales, and geographic regions—are at the heart of the production of its global public policy.
尽管行动者、危机和行动领域多种多样,但全球公共政策有一个不变之处,即在治理知识的生产中无处不在的指标。本文从理论上探讨了在2015年讨论并提出的17个可持续发展目标(sdg)背景下全球治理超量化现象。越来越多的指标,如用于监测目标和目标的指标和量化数据,不再仅仅是治理的工具,而是新型政治文化的象征,使物质、技术-政治和组织结构之间的相互作用成为可能,(统计)知识在其中产生、传播并转化为全球公共政策。本文提出了一种新的量化理论方法,作为一种“认知基础设施”,揭示了这种复杂性,这种基础设施跨越三个层面:物质性(如数据和指标)、相互联系(如网络和社区)和范式(如开展政策工作的新方法)。本文和本期特刊的其他文章从可持续发展目标的“认知基础设施”角度,分析了量化的知识实践(在广泛不同的政策领域、规模和地理区域)如何成为全球公共政策制定的核心。
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引用次数: 0
Participatory methodologies and caring about numbers in the 2030 Sustainable Development Goals Agenda 参与式方法和关注2030年可持续发展目标议程中的数字
IF 9.3 1区 社会学 Q1 POLITICAL SCIENCE Pub Date : 2022-04-22 DOI: 10.1093/polsoc/puac016
Isabel Rocha de Siqueira, Laís Ramalho
Calling for a “data revolution,” the United Nations Sustainable Development Goals (SDGs) seek to promote progress in matters related to planet, people, prosperity, peace, and partnerships (the “5Ps”) by mobilizing an all-encompassing datafying system that heavily relies on quantification. As such, the SDGs serve as a unique window that showcases the most up-to-date materials, methods, and forms of expertise in datafying practices, while also incentivizing local and national appropriation, with all the difficulties this entails. The article looks at the policy dynamics around SDG localization and the role of participatory methodologies, especially citizen-generated data, in Brazil’s engagement with the agenda. We depart from interviews conducted with various actors involved with SDG implementation, including civil society and public servants, and from engagement with the work conducted by one NGO specialized in citizen-generated data in the peripheries of Rio de Janeiro. Two important findings are highlighted: Localizing strategies, i.e., those that aim to take subnational contexts into account in the achievement of the SDGs, have been used to promote an agenda on rights and, in addition, there has been a strong focus on local narratives as central aspects of communicating scientific data, where progress on the SDGs is but one vehicle in the struggle against statistical invisibility and political exclusion. These findings lead us to argue for a politics of care that can change how we do global public policy.
联合国可持续发展目标(sdg)呼吁“数据革命”,通过动员一个全面的、严重依赖量化的数据系统,寻求在与地球、人民、繁荣、和平和伙伴关系(“5p”)相关的事务上取得进展。因此,可持续发展目标是一个独特的窗口,展示了数据实践中最新的材料、方法和专业知识形式,同时也激励地方和国家的资金投入,尽管这带来了所有困难。本文着眼于围绕可持续发展目标本地化的政策动态,以及参与式方法(特别是公民生成的数据)在巴西参与议程中的作用。我们从对参与可持续发展目标实施的各种行动者(包括民间社会和公务员)的采访出发,从参与一家专门从事巴西巴西周边地区公民生成数据的非政府组织开展的工作出发。报告强调了两项重要发现:本地化战略,即旨在在实现可持续发展目标时考虑地方背景的战略,已被用于促进权利议程;此外,人们强烈关注地方叙事,将其作为传播科学数据的核心方面,而可持续发展目标的进展只是与统计不可见性和政治排斥作斗争的一种手段。这些发现促使我们提出一种关怀政治,它可以改变我们制定全球公共政策的方式。
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引用次数: 2
Blockchain-based application at a governmental level: disruption or illusion? The case of Estonia 政府层面的区块链应用:颠覆还是幻想?爱沙尼亚的案例
IF 9.3 1区 社会学 Q1 POLITICAL SCIENCE Pub Date : 2022-04-12 DOI: 10.1093/polsoc/puac014
Silvia Semenzin, David Rozas, Samer Hassan
Blockchain technology enables new kinds of decentralized systems. Thus, it has often been advocated as a “disruptive” technology that could have the potentiality of reshaping political, economic, and social relations, “solving” problems like corruption, power centralization, and distrust toward political institutions. Blockchain has been gradually gaining attention beyond finance and is thus applied by a range of different actors. This includes local, regional, and national governments interested in the potentiality of experimenting with blockchain-supported governance. This article contributes to identifying blockchain as a contested socio-political object prone to contradictory political imaginaries regarding its potentialities, particularly when applied to policy. The article explores some of the most praised of blockchain’s affordances (e.g., decentralization and transparency) in the context of Estonia, one of the most cited examples of blockchain governmental applications. Estonia has received international attention as the alleged first national infrastructure integrating blockchain. However, so far, few have asked: what kind of blockchain-based tools have been built by the Estonian government in practice and why? And to what extent do blockchain-based governmental applications reflect the original promises of disruption of the crypto-community? This article draws on a qualitative approach to explore several blockchain-based socio-technical objects to identify the narratives that have emerged in Estonia. The research shows clear contrasting views between stakeholders and technical experts from inside and outside the institutional sphere. The conflict revolves around two different social imaginaries associated with permissioned vs. public blockchains. The paper concludes with an analysis of the profound political implications of each vision.
区块链技术使新型分散系统成为可能。因此,它经常被认为是一种“颠覆性”技术,有可能重塑政治、经济和社会关系,“解决”腐败、权力集中和对政治机构的不信任等问题。区块链已逐渐获得金融以外的关注,因此被一系列不同的参与者应用。这包括对试验区块链支持治理的潜力感兴趣的地方、地区和国家政府。这篇文章有助于确定区块链作为一个有争议的社会政治对象,容易产生关于其潜力的矛盾的政治想象,特别是在应用于政策时。本文在爱沙尼亚的背景下探讨了区块链最受称赞的一些功能(例如,去中心化和透明度),爱沙尼亚是区块链政府应用中被引用最多的例子之一。爱沙尼亚作为据称第一个整合区块链的国家基础设施而受到国际关注。然而,到目前为止,很少有人问:爱沙尼亚政府在实践中建立了什么样的基于区块链的工具,为什么?基于区块链的政府应用在多大程度上反映了颠覆加密社区的最初承诺?本文采用定性方法来探索几个基于区块链的社会技术对象,以确定爱沙尼亚出现的叙述。该研究显示了制度领域内外的利益相关者和技术专家之间明显不同的观点。冲突围绕着与许可区块链和公共区块链相关的两种不同的社会想象。本文最后分析了每种愿景的深刻政治含义。
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引用次数: 6
Statistical entrepreneurs: the political work of infrastructuring the SDG indicators 统计企业家:为可持续发展目标指标奠定基础的政治工作
IF 9.3 1区 社会学 Q1 POLITICAL SCIENCE Pub Date : 2022-03-22 DOI: 10.1093/polsoc/puac013
J. Bandola-Gill
Governing by indicators has emerged as the predominant mode of global public policy. Consequently, global governance has become a field in which different indicators compete for policymakers’ and public attention. This begs a question—what makes some indicators successful when others become irrelevant? This paper explores this problem through the inquiry into the measurement of multidimensional poverty in Sustainable Development Goal 1 (“End poverty in all its forms everywhere”). In the field historically dominated by the World Bank’s dollar-per-day metric (currently 1.9$), multidimensional poverty measurement gained prominence, becoming one of the key measures of global poverty. By tracking the pathways to success of multidimensional poverty measurement—through qualitative interviews with actors in International Organisations this paper argues that the key quality of successful indicators is their ability to become parts of the broader epistemic infrastructure, linking political institutions, actors (including experts and policymakers), and data and statistics. The paper brings the focus on a specific set of actors—statistical entrepreneurs—who advocate for innovations in measurement and work toward creating such infrastructures, thus indirectly promoting new policy ideas reflected in the metrics.
指标管理已成为全球公共政策的主要模式。因此,全球治理已经成为一个不同指标争夺决策者和公众关注的领域。这就引出了一个问题——是什么让一些指标在其他指标变得无关紧要时取得成功?本文通过探讨可持续发展目标1(“在世界各地消除一切形式的贫困”)中多维贫困的衡量方法来探讨这一问题。在历史上由世界银行的每日一美元衡量标准(目前为1.9美元)主导的领域,多维贫困衡量标准获得了突出地位,成为全球贫困的关键衡量标准之一。通过跟踪多维贫困衡量的成功途径——通过对国际组织的行为者进行定性访谈——本文认为,成功指标的关键品质是它们能够成为更广泛的认知基础设施的一部分,将政治机构、行为者(包括专家和政策制定者)以及数据和统计数据联系起来。本文将重点放在了一组特定的行为者——统计企业家——他们倡导计量方面的创新,并致力于创建这样的基础设施,从而间接地促进了反映在指标中的新政策理念。
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引用次数: 3
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