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Record W3126412154

Housing Affordability in BC — with David Eby

2021· article· en· W3126412154 on OpenAlexaboutno aff
David W. Eby, Am Johal, Fiorella Pinillos, Melissa Roach, Paige Smith, Kathy Feng, Alex Abahmed

Bibliographic record

VenueSummit (Simon Fraser University) · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicUrban and Rural Development Challenges
Canadian institutionsnot available
Fundersnot available
KeywordsEconomics
DOInot available

Abstract

fetched live from OpenAlex

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.957
Threshold uncertainty score0.419

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.022
GPT teacher head0.231
Teacher spread0.208 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

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