Housing Affordability in BC — with David Eby
Bibliographic record
Abstract
David Eby is the provincial government representative (MLA) for Vancouver-Point Grey, first elected in 2013.\n\nA proud local resident, David was re-elected in 2020 to serve a third term in the B.C. Legislature and in November 2020 was appointed to his current role as Attorney General and Minister of Housing by Premier John Horgan.\n\nBefore he was elected, David was the Executive Director of the BC Civil Liberties Association, an adjunct professor of law at the University of British Columbia, president of the HIV/AIDS Legal Network, and served on the Vancouver Foundation’s Health and Social Development Committee.\n\nAn award-winning human rights lawyer, he has been repeatedly recognized in local media as one of British Columbia’s most effective advocates and has appeared at all levels of court in BC.\n\nHis years of legal advocacy at Pivot Legal Society to protect the human rights and dignity of homeless and under-housed residents of Vancouver’s Downtown Eastside were recognized in 2011 by the UN Association in Canada and the B.C. Human Rights Coalition with their annual award.\n\nDavid is the author of several books and articles on legal rights. His handbook on arrest rights is now in its third printing, with more than 10,000 copies in circulation.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.002 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.026 | 0.006 |
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".