Co-designing for equity – undesigning anti-Black racism in the arts in Canada
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.
Bibliographic record
Abstract
The Make Some Noise: Hidden Stories of Black Creatives in Canada was a co-design research study with Black creatives across Canada representing diverse disciplines of design, visual and performing arts. Participants self-identified as emerging, mid-career, or established in their practice. The study mapped the ecosystem across Canada of barriers and facilitators influencing Black creatives’ career progression. Sixty-eight Black creatives participated in 10 virtual co-design research consultations. Two speculative co-design sessions were held with 22 participants to inform the design of a resource tool to support their creative practice, strengthen their creativity and overcome reported barriers. Participants co-designed the characteristics, form, and key functions of the tool and speculated on how the tool would be accessed and used, now and in the future. Key themes that emerged from the stories they shared of their lived experience of institutional anti-Black racism were: (1) protective factors and empowerment, (2) creating opportunities for ourselves, (3) overcoming institutional barriers, (4) finding creative solutions: opportunities, successes, economic sustainability, and (5) resources needs. This study contributes to the discourse on design’s role in fostering positive societal change when participants with lived experience are recognised as subject matter experts and empowered to be agents of change.
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 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 | 0.016 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it