Housing Justice for Vancouver: Affordability, Inclusion and Redress. Below the Radar podcast
Bibliographic record
Abstract
Episode 11 of Below the Radar features Stephanie Allen, a director of the Hogan's Alley Society, and Vice-president at Catalyst Community Developments Society and #46 on the 2018 VanMag Power 50 List. In this episode Am Johal and Stephanie Allen discuss affordable housing, the pros and cons of not-for-profit real estate development, the nature of ownership and property, along with a look at the fight for Hogan’s Alley and the recognition of the erasure of black culture from Vancouver through city development. To learn more, or get involved check out these links:\nwww.catalystcommdev.org\nwww.hogansalleysociety.org\nOr follow Stephanie on Twitter @builtjustice
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.025 | 0.004 |
| Scholarly communication | 0.009 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.046 | 0.005 |
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".