MétaCan
Menu
Back to cohort
Record W2792432459 · doi:10.1080/14780887.2018.1442694

Making spaces: multimedia storytelling as reflexive, creative praxis

2018· article· en· W2792432459 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.

Bibliographic record

VenueQualitative Research in Psychology · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsTrent UniversityUniversity of Guelph
Fundersnot available
KeywordsReflexivityStorytellingPraxisCreativitySociologyThe artsSpace (punctuation)AestheticsVisual artsNarrativeEpistemologyPsychologyArtComputer scienceSocial psychologySocial scienceLiterature

Abstract

fetched live from OpenAlex

In this article, we explore our experiences as researchers and participants in multimedia storytelling, an arts-informed method wherein we work with artists and aggrieved communities to speak back to dominant representations through film. In positioning ourselves as storytellers, we do research with rather than “on” or “for” participants, allowing us to connect in practical and affective ways as we co-create films. Drawing from dialogues about our workshop experiences, we outline four themes that make the storytelling space unique: reflexivity; structure and creativity; transitional space and reverberations; and fixing versus being/becoming with. We analyze our self-reflexive films on mind-body difference as “biomythographies,” as films that situate stories of ourselves in technological-temporal-spatial relations and that highlight how we make/experience change through creative research. Multimedia storytelling, we argue, allows us to enact reflexive creative praxis in a way that opens to difference rather than trying to fix it, forging an ethic we find all too rare in the neoliberal university.

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)0.072
metaresearch head score (Gemma)0.037
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesMetaresearch, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.642
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0720.037
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0010.011
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.003

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 head0.923
GPT teacher head0.833
Teacher spread0.090 · 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