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Record W3144763445 · doi:10.53967/cje-rce.v44i1.4535

Zine Production with Queer Youth and Pre-Service Teachers in New Brunswick, Canada: Exploring Connections, Divergences, and Visual Practices

2021· article· en· W3144763445 on OpenAlexafffundvenueabout
Casey Burkholder, Katie Hamill, Amelia Thorpe

Bibliographic record

VenueCanadian Journal of Education / Revue canadienne de l éducation · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsUniversity of New Brunswick
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsQueerSociologySolidarityGender studiesParticipatory action researchCitizen journalismPedagogyPoliticsPolitical science

Abstract

fetched live from OpenAlex

Queer, trans, and non-binary youth navigate school spaces punctuated by erasures, silences, and oppression, and resist these experiences through solidarity-building, activism, and art practice. In this article, we seek to centre experiences of school and society as important spheres of inquiry through participatory visual research with queer, trans, and non-binary young people (ages 12 to 17) and pre-service teachers and community educators (ages 22 to 40) in Fredericton, New Brunswick, Canada. Using an intersectional lens, we consider how intersecting power structures—gender, race, class, and disability—produce unequal impacts in relation to school and social experiences in New Brunswick. Centring youth agency, we position youth as knowledge producers through participatory visual methods of inquiry, including the making of zines (DIY print productions). With youth and pre-service teachers, through inquiry into existing and desired school and social experiences, we seek to make visual the practice of intergenerational solidarity building through zine production. Keywords: participatory visual research, queer, trans and non-binary youth, pre-service teachers, zines

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.055
Threshold uncertainty score0.396

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0300.014
Scholarly communication0.0070.002
Open science0.0020.006
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.442
GPT teacher head0.486
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations23
Published2021
Admission routes4
Has abstractyes

Explore more

Same venueCanadian Journal of Education / Revue canadienne de l éducationSame topicParticipatory Visual Research MethodsFrench-language works237,207