Dwelling Places and Social Spaces: Revealing the Environments of Urban Workers in Victoria Using Historical GIS
Bibliographic record
Abstract
The Pacific Northwest underwent rapid economic growth in the late 19th century and cities on both sides of the Canada/US border burgeoned. The building boom was sustained by a large cohort of tradesmen and skilled labourers who lived in modest cabins, tenement blocks, boarding houses, and residential hotels. Most of these urban wageworkers were unmarried. They left few records of their experiences outside the job site or union hall. In this case study of Victoria, British Columbia circa 1891, we deployed a historical geographical information system (HGIS) to reconstitute the urban residential and social space of about 2,000 otherwise elusive working men. Our research framework combines qualitative methods that are familiar to historians and quantitative methods favoured by geospatial researchers. By integrating both qualitative and quantitative data, we are able to represent the multiple spatial conditions experienced by Victoria’s wageworkers in the early 1890s. In the process, we repopulated the city and reconstructed a largely vanished urban landscape. A primary objective of the essay is to demonstrate how gis can be used as a research tool and new epistemology in the field of labour history.
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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 | 0.003 | 0.005 |
| Science and technology studies | 0.006 | 0.006 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".