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Record W2963897488 · doi:10.1177/1609406919858530

“A Space Where People Get It”: A Methodological Reflection of Arts-Informed Community-Based Participatory Research With Nonbinary Youth

2019· article· en· W2963897488 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueInternational Journal of Qualitative Methods · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsUniversity of GuelphMcGill UniversityWilfrid Laurier University
FundersWilfrid Laurier University
KeywordsParticipatory action researchThe artsCommunity-based participatory researchIdentity (music)SociologyCitizen journalismSpace (punctuation)Qualitative researchParticipant observationPsychologyPublic relationsSocial scienceVisual artsPolitical scienceComputer scienceAestheticsWorld Wide Web

Abstract

fetched live from OpenAlex

This article is a methodological reflection of Bye Bye Binary, a community-based participatory research project (CBPR) that explored nonbinary youths’ experiences of identity development, engagement in activism, discrimination, and mental health in Ontario, Canada. The arts-informed method of body mapping was employed in a workshop format to garner the experiences of 10 nonbinary youth (aged 16–25), in conjunction with additional qualitative methods (i.e., individual interviews and reflective notes). Findings suggest that the body-mapping workshop fostered a safe environment that promoted idea generation, affirmation, self-exploration, and connections through a shared identity, thus creating “a space where people get it.” Methodological challenges that arose throughout the process are discussed, including engagement in art as “awkward,” barriers of limited time and funding, participant recruitment, and collaboration and integration. Lastly, the authors reflect on their learnings engaging in CBPR and provide insights into how researchers can move forward and apply these methods and processes into their own work engaging in arts-informed research or with nonbinary individuals.

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)0.194
metaresearch head score (Gemma)0.037
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 score0.157
Threshold uncertainty score0.971

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.1940.037
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.002
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 head0.983
GPT teacher head0.821
Teacher spread0.162 · 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