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Record W2517107619 · doi:10.18432/r26p47

Art For? Framing the Conversation on Art and Social Change with Steven Hill

2016· article· en· W2517107619 on OpenAlexaffvenue
Patti Fraser, Flick Harrison

Bibliographic record

VenueArt/Research International A Transdisciplinary Journal · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsFraming (construction)ConversationSociologyObjectivity (philosophy)Visual researchVisual artsContemporary artAestheticsMedia studiesPsychologyArtEpistemologyArt historyPerformance artHistory

Abstract

fetched live from OpenAlex

In my role as a researcher with Simon Fraser’s University’s Art for Social Change Research Project I was charged with the task of historicalizing the work of artists who have been recognized for their contribution to the field of socially engaged art. With video artist Flick Harrison we set out and conducted a series of intimate and personal conversations with artists, many of whom I shared a history of practice. Defining the practice as meaning to take the experience one has gained, experience from the doing of it, in order to actualize a condition or event that did not exist before. The research outcome represented in this digital video piece is based on a recorded interview with director, actor, and creator Steven Hill. By disrupting the interview through visual inserts and pithy philosophical responses into the visual frame we are seeking to unpack the conventional research interview. This process in and of itself becomes an action site of research. This piece not only playfully unpacks the objectivity of the researcher but also offers a field of visual play that formally furthers Steven Hill’s theorizing on the idea of frames and what predetermines the frames we bring to the project of art ‘for’ social change. The underlying question that forms the spine of interview is based on Hannah Arendt’s (1954) theory of past and future as it relates to the education of the young. What needs to be preserved in your practice or held a responsibility as it is re-imagined in the future?

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)0.014
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.761
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0140.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.658
GPT teacher head0.626
Teacher spread0.032 · 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.

Study designNot applicable
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

Citations1
Published2016
Admission routes2
Has abstractyes

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