The Handbook of Peer Production. Группа авторов

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of rules or norms into new contexts or when their original setting changes. Regulations can also be altered by strategic efforts. Furthermore, institutions might be transformed due to conflicting rulings or dissenting normative expectations (Oliver, 1992; Zucker, 1977). For instance, in her study of the Debian community of programmers, Coleman (2013) finds what she calls moments of “punctuated crisis” (p. 124). There, the conflicting modes of governance of democratic majoritarian rule, a guildlike meritocracy, and an ad hoc process of rough consensus clash and prompt negotiations and new rulings.

      The chapter is organized along a set of questions. The second part asks why peer production needs any sort of rules and norms. Based on this discussion of institutional conditions, the third part will map what sorts of rules and norms prevail in peer production. It delineates the three institutional levels of policies, guidelines, and basic normative understandings that are geared towards the products and the processes of peer production. Next, the fourth part examines how rules and norms come into existence and are made to function. Finally, the chapter reflects to what end peer production’s institutions congeal into governance regimes, bureaucracy, and hierarchies.

      The chapter mostly refers to Wikipedia and free and open source software projects such as Linux and Debian (see also Couture, this volume; Haider & Sundin, this volume). These paragons showcase the power and potential of peer production. They are taken as reference cases since these mature initiatives provide rich information about the long‐term processes of building and transforming institutions for voluntary and free cooperation.

      Rules and social norms play an important part in organizing peer production. Given the anonymity, ease of entry, and limited social cues which characterize peer projects, this can be a challenging mission (Resnick & Kraut, 2011). In that respect, institutions can be seen as an answer to the question of “how to steer the integration of dispersed knowledge resources and how to coordinate such activities to the purpose of creating common value” (Aaltonen & Lanzara, 2015, p. 1650). They provide for the collective capability of participants separated in space and time to bundle together the piecemeal contributions and direct them towards the joint production of a valuable outcome. In order to continuously create and ensure collective agency, rules and social norms can rarely be one‐time solutions. They have to be adapted to the dynamics of a particular project, for instance, in terms of new user cohorts, content growth, or a changing technological and legal environment.

      Most notably, the idea of freedom is enshrined in licenses such as the General Public License or the Creative Commons License (Lakhani & von Hippel, 2003; Lessig, 1999; Raymond, 1999; Stewart & Gosain, 2006; Vieira & de Filippi, 2014; see also Dulong de Rosnay, this volume). In projects such as the Linux kernel operating system, they guarantee some of the pivots of peer production and safeguard its essential modes of operation that rest on sharing, copying, adapting, and disseminating incremental contributions. This backbone is charged with a normative impetus, namely, that proprietary software “is antisocial, that it is unethical, that it is simply wrong,” as Richard Stallman (2004) exclaimed. This again rests on the moral idea of a hacker culture where all information should be free and decentralization ought to be promoted so as to change life for the better (Levy, 1984).

      Institutions are an ill‐defined category. Following Scott (2001) we can distinguish “three pillars of institutions” (p. 51). They encompass regulations, norms, as well as conventional orders of knowledge and action (DiMaggio & Powell, 1991). Regulative rules come as provisions, statutes, laws or decrees that specify how an activity must be executed. They imply monitoring and enforcement through sanctions or gratifications that either penalize deviant behavior or reward compliance. In peer production projects, rules are vital resources to draw on in order to justify as well as to challenge a decision or action (Bryant, Forte, & Bruckman, 2005; Lakhani & Von Hippel, 2003; Pentzold, 2017, 2018; Viègas, Wattenberg, & Dave, 2004; Viègas, Wattenberg, & McKeon, 2007). Rules crystallize informal conventions or implicit standards in tangible written form and prompt what Giddens (1984) has called an instrumental behavior. It can mean conformity, yet other responses such as prevention, defiance, or forms of gaming the system might also pose viable options.

      The application of formal regulations can be backed up by normative demands. Norms can be seen, according to Scott (2001), as “conceptions of the preferred or the desirable, together with the construction of standards of which existing structures or behavior can be compared and assessed” (p. 54f.). They usually take shape in maxims, sayings, or moral doctrines like the dictum that “All information should be free,” as documented by Levy (1984, p. 40) in his account of the hacker ethic. Because peer production projects only have a limited potential to enforce rules or prosecute wrongdoers due to their voluntary and open nature, they very much rely on informal norms (Raymond, 1999; Stewart & Gosain, 2006). Norms ideally do not need external sanctions because they encompass an obligatory moral request that takes effect by way of internalized commitment. In Max Weber’s (1978) terms, norms feature the “prestige of being considered binding, or, as it may be expressed, of ‘legitimacy’” (p. 31). Thus, while rules request an instrumental logic of individual interests and alternative ways to act, some of which are permitted while others are not, norms engender a logic of acceptability that is oriented towards an accordance of action and expectations (March & Olsen, 1989).

      Both rules and norms rest on collective forms of knowledge and shared mindsets which endow them with sense and meaning. These cultural frameworks of wider belief systems as well as repetitive patterns of action often remain tacit. As such, they “not only constrain options: they establish the very criteria by which people discover their preferences” (DiMaggio and Powell, 1991, p. 11). Similarly, Hall and Taylor (1996) suggested that “institutions influence behavior not simply by specifying what one should do but also by specifying what one can imagine oneself doing in a given context” (p. 948). This horizon of thought and agency cannot be reflected upon as a whole. The “way we do things” escapes instrumental efforts to efface, add, or change particular elements as it unfurls in long‐term processes of habitualization. This happens, as Berger and Luckmann (1966) stated, when an action is repeatedly performed. It becomes instituted as an expected pattern which is reproduced in further activity and as such then becomes the matter of codification, instruction, and reinforcement. The Code of Conduct adopted by the Debian project in 2014 demonstrates this dynamic. It sets down a number of basic principles. For instance, it includes the request to be respectful, cooperative, and concise.

      The three institutional pillars can only be separated for analytical purposes. In practice, they are entangled: prescriptive rules go along with

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