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Record W36488666

Participation cartography: performance, space, and subjectivity

2009· dissertation· en· W36488666 on OpenAlexaboutno aff
Sotelo Castro, Luis Carlos

Bibliographic record

VenueHall's journal of health · 2009
Typedissertation
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsnot available
Fundersnot available
KeywordsSubjectivityPraxisSubject (documents)Relation (database)Representation (politics)Everyday lifeCartographyArgument (complex analysis)Space (punctuation)GeographySociologyHumanitiesAestheticsArtVisual artsEpistemologyLinguisticsComputer sciencePolitical scienceLibrary sciencePoliticsPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

This study presents the term Participation Cartography as an overarching category of analysis for a wide range of artistic practices that, in one way or another, enable participants to position themselves subjectively in relation to a given performed space. By re-defining cartography from a discipline concerned with the visual representation of the observable world into a performance praxis that requires audience participation, enabling participants to position themselves in relation to a given performed space, I expand the range of practices considered by previous literature. Further, I raise issues in relation to the connections of subjectivity, space, performance, and cartography. My argument is that Participation Cartography describes a type of practice in and through which the Subject who moves in space is both mapped and positioned. By linking Felix Guattari’s (1995) term ‘cartography of subjectivity’ with Deirdre Heddon’s (2008) investigation on autobiographical tours made by artists (‘autotopographies’), Participation Cartography locates the practices here under study within a terrain that blurs everyday life and art, autobiography and representation of subjects-in-movement. In so doing, Participation Cartography expands previous notions such as ‘psychogeography’ (Kanarinka, 2006, McDonough, 2002), ‘collaborative mapping’ (Sant, 2004), ‘locative media’ (Hemment, 2006) and ‘autotopography’ (Heddon, 2008). Participation Cartography describes a type of social activity or, in Allan Kaprow’s terms, a kind of ‘participation performance’ (Kaprow, 2003) that enables participants to present the self (Goffman, 1990) as a being-in-motion within the public arena of performance. Michel De Certeau’s (1984) ‘The Practice of Everyday Life’ is used as a theoretical model to analyse the tensions raised by Participation Cartography between the artists’ strategies, the participants’ performances, and the representations of those performances that remain. Positioning, as used within a field in social psychology called ‘Positioning Theory’ (Harre and Van Langenhove, 1999) is applied to the analysis of the practices here under study. Participation Cartography turns the spectator into a participant. More concretely, participants are turned into both producers and users of cartographies of the Subject they co-produce with others. As a self-reflexive practice that creates agency, it enables participants to fabricate interconnections between performance, space, and subjectivity, blurring the boundaries between art and therapy. Key practices that are discussed in this thesis include a locative media project by Jen Southern (UK) and Jen Hamilton (Canada) titled Running Stitch (2006), Untitled Action for the Arches (2005), a live art work by Kira O’Reilly (Ireland), and my own collaborative pieces, The Shoemakers’ Ball (2006) and We the Colombia National Team (2003)

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.

How this classification was reachedexpand

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)0.011
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.896
Threshold uncertainty score0.637

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.390
GPT teacher head0.632
Teacher spread0.243 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2009
Admission routes1
Has abstractyes

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