MétaCan
Menu
Back to cohort
Record W2887147486 · doi:10.5204/mcj.1412

Data Desire in the Anthropocene

2018· article· en· W2887147486 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueM/C Journal · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicGeographies of human-animal interactions
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsAnthropoceneSubjectificationPleasureAestheticsSociologySubjectivityMeaning (existential)Event (particle physics)Deleuze and GuattariEpistemologyRelation (database)Environmental ethicsHistoryPsychologyComputer scienceArtPhilosophy

Abstract

fetched live from OpenAlex

Data desire flows through protest in the Anthropocene. Citizen science, participation in online discussion forums, documentary film production, protest selfies, glacier recession GPS photography, poster making, etc., are just some of the everyday data proliferation efforts comprising resistance to environmental degradation and destruction. These practices – visualisation, datafication, writing, sign making, archiving geological memory, etc., are, I want to argue, produced pleasurably, especially as modes of emerging as ‘subjects’ in relation to the chaos, chaotic affects, and unprecedented pace of destructive ecological events that these practices try to grasp or ‘make sense of.’ Pleasures of data production are hence closely correlated to emerging as a subject within the Anthropocene. Such pleasures function beyond individual emotion, and in relation to subjectification within chaotic events such as climate change. In this article I propose the concept data desire to map out how ‘data’ and ‘subjectivity’ co-emerge in relation to material forces and how people take pleasure in their subjectification through ‘knowing,’ datafying, and creating ‘meaning’ out of material events which are chaotic or have chaotic affects (Guattari). I take up contrasting terms of ‘pleasure’ and ‘desire’, drawing on the thought of Gilles Deleuze ("Desire"; Essays), for whom pleasure is associated with a craving of individuation in light of chaos while desire speaks to the unlimited postponement of events from being summarised. One such event, and the event I focus on in this article, is oil. Here, I think of the event, not as ‘a moment’ or a ‘happening,’ but as that which has many iterations, instances, and bifurcations, and is often distributed in space and time (Deleuze, The Fold). I draw on my fieldwork in media practices of people taking part in the oil pipeline protests in British Columbia, Canada. I give examples of three data practices, and articulate the relation between media production, generation of ‘data’ and the production of subjectivity within the Anthropocene. These practices include data generation through participation in online news’ comment forums, data created as part of citizen science, and resistance ‘selfies’ or producing oneself as data to be circulated on social media. My analysis diverts from any interest in the representational function of media, towards how pleasures of data practices and the circulation of desire that these are a part of emerge, for many people, as the only ways of becoming subjectified in catastrophic environmental events.Pleasure and desire may not be the most obvious terms to think of when one thinks of resistance, particularly against environmental degradation. While pleasure has been an important aspect of activism, social movements, and feminist politics (e.g. Goodwin, Jasper, and Polletta; Sharpe), it has only recently been engaged with in relation to environmental activism, particularly by Craig, and Alaimo. Alaimo defines pleasure as an important aspects of material engagements and more-than-human ontologies marked by connection and kinship characterised by delight. Craig also calls for the recognition that pleasure is central to the everyday lived resistance found in environmental movements such as the slow food movement and urban farming that are anti-consumerist in orientation. These examples mark pleasure as part of the politics of resistance where the emotion emerges from the belief in a harmonious and symbiotic relationship to ‘nature’ and non-human matter through human emotion. Pleasure however, as I intend to show, can also be thought of beyond the individuating ‘emotion’ and as part of larger flows of desire, where ‘desire’ is conceptualised as vitality and ‘ongoing production’ (Deleuze & Guattari, Anti-Oedipus). Particularly, my focus on pleasure intends to problematise how pleasure through data production emerges perhaps as a mode of ongoing ‘coping’ of ‘navigating’ or of simply ‘trying to be a part of’ or attain some sensation of ‘agency’ amongst ecological catastrophes when being political are deemed to be ineffective or even futile.Data and Desiring-ProductionI propose ‘data desire’ as a concept for thinking about the ongoing social production of subjectivity through data production in the context of the failure of representation in the Anthropocene. Gilles Deleuze ("Desire") argued that pleasure is an individualised emotion related to failures of representation: “pleasure seems to me to be the only means for a person or a subject to ‘find themselves again’ in a process which overwhelms them” ("Desire", n.p.). Such an emotion is one of the outputs of a flow of desire that is non-individual, and not only human.Desiring production “causes the current to flow” (Deleuze and Guattari, A Thousand Plateaus, 5) between the event of oil and the production of subjectivity, both which propagate and bifurcate, and are continuously produced anew. Desire is characterised by vitality, or the unceasing capacity of processes to continuously become difference, to continuously change, rather than ‘arrive’, ‘conclude’, or ‘be.’ In other words, to think with ‘desire’ is to note how production flows, like a current, through ‘overwhelming’ events that including oil, and through subjectification, both of which continuously emerge in new contortions and produce new affects. The pleasure that emerges through a subject being produced, or a subject ‘coming into being’ by way of producing data – summarising, visualising, representing, and trying to give ‘meaning’ to ‘the event’ – is affected by the ongoing ability of ‘the event’ to multiply and be postponed from being summarised, as it proliferates and reproduces itself in ever new human and non-human bifurcations – oil spills and leaks, protests, policies, bitumen, new movements, new rhetoric, new sanctions, new pipelines, etc.Malins for instance notes how desireis not that which a pre-existing subject has for something, nor is it motivated by individual lack or the pursuit of pleasure. It is instead best understood as a pre-subjective, pre-conscious life force or energy that flows between bodies, connecting, animating and transforming them. (2)Data desire is therefore most importantly not a feeling that emerges out of a lack of data, or a desire for data. Rather data desires suggests that data practices become modalities through which people involved in environmental resistance can continuously ‘sense’ themselves as part of the event, or gain the sensation that they ‘are’ political, even if only as a sensation and only if momentarily, and within catastrophic events that are also always changing and defy representation. Events such as oil hence require analysis of the entanglement or multiple ways in which processes of subjectification, ecology, and media practices are in themselves multiple and folded together in multiple ways, something Guattari called the three ecologies, and more recently, Murphie referred to as a catastrophic multiplicity. This orientation towards desire as production positions the analysis of the pleasure of data practices beyond that of an individual into the realm of social production.Data Desire Fieldwork in the Oil-EventMy fieldwork focussed on the data practices of residents living in oil pipeline conflicts in British Columbia. This research included examining the media practices and everyday data engagements of residents engaging with and concerned about two oil pipeline projects: Enbridge’s Northern Gateway Pipeline, which would move crude oil from Edmonton and terminate in Kitimat in Northern British Columbia, and Kinder Morgan’s Trans Mountain oil pipeline that also would move crude oil from the Alberta tar sands to Burnaby, British Columbia. This later pipeline already exists, although the proposed project aimed at twinning of the oil pipeline would substantially increase oil tanker traffic along the West Coast and generate new risk of oil spills, given its increased capacity. As part of my research I spoke with a total of twenty-four (24) residents, and six (6) environmental non-governmental organisations (ENGOs) in Northern British Columbia and the Vancouver Metro Area to examine their media practices, digital strategies and other, everyday data practices in the oil pipeline conflict.Against the backdrop of an uptake in big data’s relation to ecological transformation (e.g.: Ruiz; Hogan; Maddalena & Russill), I found the displays of pleasure accompanying individuals’ ostensibly everyday ‘small data’ productions as enunciations of subjectivity and resistance in the oil pipeline movement, under-examined and intriguing. Oil pipeline resistance can be charted along affective lines of pleasure associated with data practices, as people living in oil pipeline conflicts find themselves amidst an ever-expanding flurry of directions and affects that oil takes on: #NoDAPL, the Kalamazoo oil spill, the Conservative party leadership, Indigenous law suit claims, hypocrisy rhetoric, oil pipeline decisions approved, challenged, and deferred at municipal and federal levels. Oil is hence not only a substance but an event that continues to swirl off in new directions, and encompasses and also connects with a multitude of other events, such as urbanisation, 300,000 airplanes taking off and landing on a daily basis, peak oil, and animal extinction. I therefore consider ‘events’ not as ‘happenings’ or singular image events (DeLuca; DeLuca & Peeples; McHendry; Yang) in the way they are often conceptualised within environmental communication literature, but as something that is ongoing, and often extensive beyond a single time and space. Image events may be one of the expressions of a broader and larger (conceptualised as having multiple expressions) event taking place. This section provides three examples of pleasures of emerging as subjects through data practices as political resistance to oil. These include

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.234
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.158
GPT teacher head0.439
Teacher spread0.281 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it