solidarity through mail-based participatory visual research: exploring queer and feminist futures through an art, activism and archiving project with 2SLGBTQ+ youth amidst COVID-19
Bibliographic record
Abstract
The COVID-19 pandemic posed a logistical problem to our normal ways of engaging in participatory visual research. Our in-person art, activism and archiving with 2SLGBTQ+ Atlantic Canadian youth pivoted to use distanced engagement strategies that met the demands of the pandemic. We sought to create networks of solidarity while we were apart. Monthly, over the course of a year, we mailed out themed packages of art supplies and directions to fifty-five 2SLGBTQ+ youth situated in the Canadian provinces of New Brunswick, Nova Scotia, Prince Edward Island and Newfoundland and Labrador. Participants then created the artworks, photographed them and contextualised them through text. While the resulting co-curated digital archive includes multiple mediums, here we focus on the participants' zines and dioramas for what they taught us about 2SLGBTQ+ youth's identities, activism, beliefs, friends, home, family, fears, strengths and futures. The digital archive of our artwork deconstructs, explores and affirms identities and functions to build solidarity during a time of increased isolation. We argue that collaboratively building the digital archive was a feminist act of reclamation and a declaration of youth queer activism.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.060 | 0.026 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.010 | 0.015 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".