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Record W1583651670 · doi:10.17169/fqs-16.2.2288

Immersion, Embodiment, and Imagination: Moving Beyond an Aesthetic of Objectivity in Research-Informed Performance in Health

2014· article· en· W1583651670 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueForum: Qualitative Social Research (Freie Universität Berlin) · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsUniversity of Toronto
FundersCanadian Institutes of Health Research
KeywordsPerformative utteranceHumanitiesArtArt historyAesthetics

Abstract

fetched live from OpenAlex

Growing numbers of qualitative health researchers of diverse disciplinary backgrounds are experimenting with various forms of performance (e.g., film, live theater, dance) as innovative approaches to engage broader communities in complex and critical ways with research. Despite this emerging alliance between performance and research, much of research-informed performance work is informed by an "aesthetic of objectivity," which assumes a linear trajectory between research findings and performance, and minimizes the relevance of aesthetic interpretation, which we argue is fundamental to achieving critical research-informed performative work. To move beyond this aesthetic of objectivity, we will explore our development of a research-informed film, "Fit for Dialysis." We argue that embracing the role of aesthetics, imagination, and embodiment more fully is essential to achieving the full interactive, educational, and emancipatory potential of the alliance between performance and research. URN: http://nbn-resolving.de/urn:nbn:de:0114-fqs1502290

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)0.080
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.308
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0800.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0020.005
Scholarly communication0.0000.003
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 head0.668
GPT teacher head0.696
Teacher spread0.028 · 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