Toast, Jams & Anti-Fascist Karaoke — with Andrea Creamer
Bibliographic record
Abstract
An artist, community organizer, and a former staff member and longtime friend of SFU’s Vancity Office of Community Engagement, Andrea Creamer joins Below the Radar to catch up with your host, Am Johal. They talk grassroots arts organizing, her experiences as a fine arts student in SFU’s School for the Contemporary Arts and at the University of Toronto, and taking a community-centred approach to healthcare and wellness.\n \nAndrea has a long history of working in community and bringing arts programming to the public. They chat about her involvement in the artist-run Toast Collective in East Van, as well as Super Cool Tuesdays, a community arts program Andrea facilitated for many years out of the Interurban Gallery in the Downtown Eastside.\n \nBringing a lens of centring community care and access to arts and culture, Andrea is deeply interested in how community connection and social prescribing can promote community health and wellbeing. She and Am talk about her work with the Burnaby Primary Care Networks, which brings together the City, the health authority, and the community to support access to primary care and allied health services, as well as vital social supports and services.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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".