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Record W4206370557 · doi:10.4324/9781003199236-11

Theorizing Non-Participation in a Mail-Based Participatory Visual Research Project with 2SLGBTQ+ Youth in Atlantic Canada

2022· book-chapter· en· W4206370557 on OpenAlexaboutno aff
Brody Weaver, Amelia Thorpe, April Mandrona, Katie MacEntee, Casey Burkholder

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsnot available
Fundersnot available
KeywordsCitizen journalismParticipatory action researchVisual researchSociologyPolitical scienceWorld Wide WebVisual artsComputer scienceArtAnthropology

Abstract

fetched live from OpenAlex

Between July 2020 and July 2021, 50 2SLGBTQ+ youth from across Atlantic Canada received monthly packages in the mail containing: 1) art supplies; and 2) a prompt in a project called Pride/Swell. Through art making and collaborative archiving, Pride/Swell participants shared experiences creating queer-focused community around identities and space during COVID-19. In this chapter, the authors focus on what non-participation has looked like in Pride/Swell. Specifically, the authors wonder: How might facilitators work with participants as they engage (and disengage) in multiple ways in participatory visual research projects conducted at a physical distance? How might researchers adjust their work as facilitators to make space for multiple forms of participation and non-participation in research projects over time? The authors found that providing time, resources, DIY videos, and opportunities to build art practices was useful, even if participants were less willing to share their art pieces with researchers. This awareness, in addition to the recognition that 2SLGBTQ+ individuals have long been denied affirming, intersectional representation within dominant historical narratives can be considered a potential factor in theorizing non-participation in distance and mail-based projects, as well as in art production, and in digital archives.

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)0.021
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.670
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0210.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.657
GPT teacher head0.620
Teacher spread0.037 · 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

Citations2
Published2022
Admission routes1
Has abstractyes

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