Cultivating Community Care: Using Research-Creation & Art-Based Workshops to Explore Care in Queer and Mad/Disabled Communities in Toronto
Bibliographic record
Abstract
Drawing on six art-based workshops and focus group sessions that took place from January to February 2023 with six 2SLGBTQ+ and/or Mad/Disabled identified participants from Toronto, Ontario, my thesis reimagines and redefines (community) care from a queer/mad/disabled perspective. Drawing on a Research-Creation informed visual methodology for community- and art-based research, this project challenges traditional ideas around knowledge production in the academy by inviting 2SLGBTQ+ and Mad/Disabled participants into the knowledge creation process through arts-based community research. I audio recorded, transcribed, and analyzed art workshops and focus group sessions using applied thematic analysis to identify themes emerging from workshop and focus group sessions. I then grouped these research findings thematically into narratives of care I identified in the transcripts. In my Findings section, I identify several care frameworks and core features of community care that participants described as essential to meeting their care needs. As a collaborative community-based research project between my participants and I, this project contributes to academic discourse on care in queer and Mad/Disabled communities.<p></p>
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.023 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".