Ontario Tenant Policy Review: Preliminary Findings through Process Mapping
Bibliographic record
Abstract
Maintaining good relationships between landlords and tenants helps to resolve conflicts and disputes. Good tenant policies pushed forward created by socially responsible landlords are also crucial to protecting tenants from eviction. This paper uses process mapping to answer the following questions specifically within the Ontario context: 1) Where and how do landlords and tenants interact? What are the common issues and conflicts involved in these interactions? And 2) What can be done to de-escalate these issues and conflicts? In the process map, all the processes of a tenancy lifecycle are described, including the conflict points, possible outcomes and suggested remedies for each process. The process map presented is designed to improve the relationship between landlords and tenants through the collective efforts of stakeholders, such as housing organizations, tenant advisory committees, individual landlords, tenants, and housing providers. Ultimately, the process map provides tools—so socially responsible landlords can address tenants’ needs and protect tenants’ rights.
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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 | 0.058 | 0.156 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.010 | 0.034 |
| Science and technology studies | 0.012 | 0.003 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".