A CRITIQUE OF THE BRITISH COLUMBIA RESIDENTIAL REAL ESTATE BROKERAGE INDUSTRY’S USE OF DUAL AGENCY
Bibliographic record
Abstract
Many of us purchase homes and deal with real estate agents in the process. Furthermore, the purchase of a home is often one of the most substantial investments a person makes. In light of this, real estate agency ought to be of tremendous concern to anyone interested in consumer protection law and reform. Surprisingly, reform in this area appears to have been left largely up to regulators and real estate industry representatives who engage in a private dialogue that tends to be inaccessible to the public. The intention of this article is to expose the public to this dialogue and spur further academic discussion into the workings of this industry.
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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 | 0.009 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.021 | 0.031 |
| Scholarly communication | 0.015 | 0.004 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.011 | 0.017 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".