Indigenizing the City of Vancouver. Below the Radar podcast
Bibliographic record
Abstract
Episode 14 features Ginger Gosnell-Myers, a Nisga’a-Kwakwaka'wakw urban planner, researcher, and policy expert, who was the City of Vancouver’s first Indigenous Relations Manager. Ginger is currently completing a master’s degree in public policy at Simon Fraser University. She is in conversation with Am Johal and Jamie-Leigh Gonzales, reflecting on her work for the City bringing Indigenous policy-making to Vancouver, speaking to a need for greater access to services for Indigenous folks in the city, and for more meaningful engagement with — and acknowledgement of — First Nations’ governance at the municipal level. She shares her thoughts on building understanding of urban Aboriginal identity and Indigenizing Vancouver through increased political representation and the sustainable funding of Indigenous community planning.\nFor more information and resources, Ginger recommends you check out:\nhttps://unya.bc.ca/\nhttp://www.tsamiks.com/hoobiyee-tsamiks-edition.html
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 | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| 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 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".