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Record W4392568166 · doi:10.1386/scene_00054_1

Reframing, embodying and in-betweening: A conversation about experiences of doing practice-based research and research-creation

2023· article· en· W4392568166 on OpenAlexaffabout
Justine Woods, Francisco-Fernando Granados, David Gauntlett

Bibliographic record

VenueScene · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsCognitive reframingConversationConversation analysisSociologyEngineering ethicsEpistemologyPsychologyEngineeringCommunicationPhilosophySocial psychology

Abstract

fetched live from OpenAlex

This article presents a conversation between one professor and two students in the Ph.D. programme at The Creative School, Toronto Metropolitan University, the first in Canada to offer a dedicated practice-based Ph.D. opportunity to candidates from all creative disciplines. The discussion covers our own experiences of practice-based research and research-creation and describes how this can be an extraordinarily powerful way to explore issues of identity, community, exclusion and inclusion, creativity and human existence. We each share our individual pathways to practice-based research through the lens of garment-making, performance and music making, and how we have each found a place in the university to explore ideas and research through these mediums. We consider our experiences of making, doing and thinking about practice, and what this means as an impactful and transformational source of knowledge.

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)0.039
metaresearch head score (Gemma)0.022
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.071
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0390.022
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.002
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.741
GPT teacher head0.697
Teacher spread0.044 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2023
Admission routes2
Has abstractyes

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