Citystats and the History of Community and Segregation in Post-Second World War Urban Canada
Bibliographic record
Abstract
This article introduces an open access website— citystats.uvic.ca —designed to facilitate historical scholarship on ethnicity in post-Second World War Canada. Citystats offers access to two sociological measures of urban residential patterns, D and P*, applying the measures to the ethnic origins variables in the Canadian census for all urban areas since 1961. D, the index of dissimilarity, is the most common gauge of urban residential patterns, describing the extent to which ethnic groups are evenly (or unevenly) distributed across the city. P*, a measurement of the exposure of groups to one another, provides historians with a summary of the everyday surroundings of urban residents. The article explains the measures and highlights some puzzling patterns in the history of urban Canada, especially the segregation of Jewish Canadians and the relative integration of Aboriginal people. Just as scholars might be expected to know (at least approximately) the number of people comprising the group that they intend to study, they should also, I argue, be aware of their distribution across urban space and their exposure to other urbanites.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.027 | 0.010 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.000 |
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.
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".