Smooth Effects: The Erasure of Labour and Production of Police as Experts through Augmented Objects

It’s a cool autumn morning and I am grateful for the sun as it warms the wet concrete. I have been told we will be spending some time outside later, so I am hopeful it will remain sunny. When everyone arrives, we go directly to the principal’s office. Once inside, someone points at the PA system. People pull out their cameras and take a quick photo—we were told the PA system in each school can be different so information about the broadcasting mechanism could be helpful in an emergency. I decide to take a photo as well. Figure 1: PA system inside the principal's office (Photo by Michelle Stewart) The principal joins us and we begin the task of moving through the school: a principal, two plain clothes police officers, two uniformed police officers, two police volunteers and an anthropologist researcher. Our goal is to document the entire school for a police program called School Action For Emergencies (SAFE) that seeks to create emergency plans for each school on a national Canadian police database. It is a massive undertaking to collect the data necessary to create the interactive maps of each school. We were told that potential hiding spaces were one focus alongside the general layout of the school; the other focus is thinking about potential response routes and staging for emergency responders. We snap photos based on our morning training. Broom closets and cubbyholes are now potential hiding spots that must be documented with a photo and narrated with a strategy. Misplaced items present their own challenges. A large gym mattress stored under the stairs. The principal comments that the mattress needs to be returned to the gym; a volunteer crouches down and takes a picture in the event that it remains permanently and creates a potential hiding spot. Figure 2: Documenting gym mat in hallway/potential hiding spot (Photo by Michelle Stewart) We emerge from the school, take a photo of the door, and enter the schoolyard. We move along the fence line: some individuals take notes about the physical characteristics of the property, others jot down the height of the retaining wall, still others take photos of the neighboring properties. Everyone is taking notes, taking photos, or comparing notes and photos. Soon we will be back at the police station for the larger project of harmonizing all the data into a massive mapping database. Locating the State in Its Objects Focusing on a Canadian police program called School Action for Emergency (SAFE), this article discusses the material labour practices required to create a virtual object—an augmented map. This mapping program provides a venue through which to consider the ways augmented objects come into the world. In this article, I discuss the labour practices necessary to create this map and then illustrate how labour practices are erased as part of this production and consumption of an augmented technology meant to facilitate an effective emergency response. In so doing, I will also discuss the production of authority and expertise through deployment of these police aids. As someone concerned with the ways in which the state instantiates itself into the lives of its subjects, I look at the particular enrollment practices of citizen and state agents as part of statecraft (Stewart). From Weber we are told about the role of police as they relate to state power, “state is a human community that (successfully) claims the monopoly of the legitimate use of physical force within a given territory. Note that 'territory' is one of the characteristics of the state. Specifically, at the present time, the right to use physical force is ascribed to other institutions or to individuals only to the extent to which the state permits it” (Weber, 34 my emphasis). I would argue that part of this monopoly involves cultivating citizen consent; that the subordination of citizens is equally important to police power as is the state’s permission to act. One way citizen consent is cultivated is through the performance of expertise such that subjects agree to give police power because police appear to be experts. Seen this way, police aids can be critical in cultivating this type of consent through the appearance of police as experts when they appear all knowing; what is often forgotten are the workers and aids that support that appearance (think here of dispatchers and databases). Becoming SAFE The SAFE project is an initiative of the Royal Canadian Mounted Police (RCMP), the national police force in Canada. The goal of the program is to “certify” every school in the country, meaning each school will have documentation of the school that has been uploaded into the SAFE computer program. As illustrated in the introduction, this is a time-consuming process requiring not only photos and other data be collected but also all of this data and material be uploaded into the RCMP’s centralized computer program. The desired effect is that each school will have a SAFE program so police and dispatchers can access this massive collection of the data in the event of an emergency. During my time conducting research with the RCMP, I attended training sessions with John, a young corporal in the national police force. One of John’s duties was to coordinate the certification of the SAFE program that included training sessions. The program was initiated in 2007, and within one year, the province we were working in began the process of certifying approximately 850 of its 1700 schools; it had completed over 170 schools and identified 180 local SAFE coordinators. In that first year alone over 23,000 photos had been uploaded and 2,800 school layouts were available. In short, SAFE was a data heavy, labour-intensive process and one of John’s jobs was to visit police stations to get them started certifying local schools. Certification requires that at least one police officer be involved in the documentation of the school (photos and notes). After all the data is collected it must be articulated into the computer program through prompts that allow for photos and narratives to be uploaded. In the session described in the introduction, John worked with a group of local police and police auxiliaries (volunteers). The session started with a short Power Point presentation that included information about recent school tragedies, an audio clip from Columbine that detailed the final moments of a victim as she hid from killers, and then a practical, hands-on engagement with the computer software. Prior to leaving for on-site data collection, John had the trainees open the computer program to become familiar with the screens and prompts. He highlighted the program was user-friendly, and that any mistake made could be corrected. He focused on instilling interest before leaving for the school to collect data. During this on-site visit, as I trailed behind the participants, I was fascinated by one particularly diligent volunteer. He bent, climbed, and stretched to take photos and then made careful notations. Back at the police station he was just as committed to detail when he was paired up with his partner in front of the computer. They poured over their combined notes and photos; making routes and then correcting them; demanding different types of maps to compare their handwritten notes to the apparent errors in the computer map; demanding a street map for one further clarification of the proposed route. His commitment to the process, I started to think, was quite substantial. Because of his commitment, he had to engage in quite a bit of labour. But it was in this process of refining his data that I started to see the erasure of labour. I want to take some time now to discuss the process of erasure by turning attention to feminist and labour theory emerging from science and technology studies as means to articulate what was, and was not, taking place during the data entry. Maria Puig de la Bellacasa highlights the role of care as it relates to labour. In so doing, she joins a literature that draws attention to the ways in which labour is erased through specific social and material practices (see for example works in Gibson-Graham, Resnick and Wolf). More specifically, Puig de la Bellacasa investigates care in labour as it effects what she calls “knowledge politics” (85). In her work, Puig de la Bellaca discusses Suchman’s research on software design programs that produce virtual “office assistants” to assist the user. Suchman’s work reveals the ways in which this type of “assistant” must be visible enough to assist the user but not visible enough to require recognition. In so doing, Suchman illustrates how these programs replicate the office (and domestic servant) dynamics. Seen this way, labour becomes undervalued (think for example interns, assistants, etc.) and labour that is critical to many offices (and homes). Suchman’s work in this area is helpful when thinking about the role of augmented objects such as the augmented police map because in many ways it is a type of office assistant for police officers, handing over virtual notes and information about a location that police would otherwise not necessarily know thereby replicating the office dynamic of the boss that appears all knowing because, in part, s/he has a team that supports every aspect of their work. This devalued work (the lower paid intern or assistant) facilitates the authority—and ultimately the higher wage of the boss—who appears to earn this status. Let me layer this analysis of the “office assistant” with the similar phenomena in scientific knowledge production. Steven Shapin, a sociologist of science, discusses Robert Boyle’s 17th century laboratory and the various technicians in the background that assisted in experiments but remained ignored. Shapin argues contemporary scientific practice has changed little in this regard as technicians remain unaccounted for in the scientific record. He points ou

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.