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Record W2766474861 · doi:10.1080/17533015.2017.1392330

Art-making and lived experience of schizophrenia: a vitalist materialist analysis

2017· article· en· W2766474861 on OpenAlexfundno aff
Monique Dalgleish

Bibliographic record

VenueArts & Health · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicArt Therapy and Mental Health
Canadian institutionsnot available
FundersNational Health Commission of the People's Republic of ChinaNational Mental Health CommissionUniversity of Saskatchewan
KeywordsMaterialismVitalismDeleuze and GuattariFeelingAestheticsThe artsPerceptionPsychologySchizophrenia (object-oriented programming)SociologyAffect (linguistics)PsychoanalysisEpistemologySocial psychologyVisual artsArtCommunicationPhilosophy

Abstract

fetched live from OpenAlex

BACKGROUND: This paper responds to calls for more lived experience research with a vitalist-materialist style of analysis inspired by Deleuze and Guattari. It challenges traditional understandings of art as a therapy associated with medical and psychological perceptions of schizophrenia, which have been found to be reductive. METHODS: Using Deleuze and Guattari's relational assemblages, the flows of affect are mapped as bodies and things, ideas and sensations connect and disconnect through the community arts sense-event "Schizy Jam". RESULTS: Opening a much broader territory for understanding the many ways that art can express, affirm and communicate difference, enables exploration of new ways in which art-makers are activating changes in feeling and thinking about schizophrenia. CONCLUSIONS: Art-makers can be supported to connect with others with shared experience to find expression for things that have previously been inexpressible and create a world that is more inclusive of them.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0070.041
Scholarly communication0.0080.006
Open science0.0010.007
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.089
GPT teacher head0.356
Teacher spread0.267 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations7
Published2017
Admission routes1
Has abstractyes

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