Enumerating informal housing: A field method for identifying secondary units
Bibliographic record
Abstract
This study developed and tested an initial tool for the systematic observation of secondary units at the neighbourhood scale by utilizing an inventory checklist method inspired by studies in the fields of health geography and criminology. Single‐family dwellings with secondary units were found to have one or more of 18 visual characteristics as outlined in the proposed tool. In the neighbourhoods where the tool was applied it was found that, within the Canadian context, urban neighbourhoods contain a higher proportion and density of secondary units than newer, suburban areas. Indicators that emerged as most prevalent included more than one mailbox per dwelling, unit numbers on single‐family dwellings, more than one electric meter, and lawns converted for parking of multiple vehicles. Local and regional variations in housing stock characteristics and local housing markets make the standardization of such a tool problematic. However, this method does present a place‐based approach that provides a subtle means of understanding the unique attributes, and distribution, of this type of housing at a scale relevant to municipal planning decisions.
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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 | 0.008 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.011 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".