Bibliographic record
Abstract
Focusing on Vancouver's social history, the essays written for this special edition of BC Studies treat hitherto neglected areas of the city's past and bring new insights into how its residents lived and worked. Receiving particular attention is the socio-economic and residential structure of Vancouver with one author arguing that the city's economy created an urban working class which was at once more complex and politically more conservative than that of the highly polarized communities on Vancouver Island and in the Interior. An article exploring the pre-1916 activities of the Sam Kee Company, one of the wealthiest merchant firms in Chinatown, offers a fascinating look inside the immigrant world and attests to the importance of business in facilitating immigrant settlement in the New World. Almost forgotten now are the accomplishments of the Mothers' Council of Vancouver -- a group of politically active women who gave support to the unemployed and the strikers from 1935-1938. Another writer recalls the 1946 occupation of the old Hotel Vancouver when a group of veterans protested against the city's acute housing shortage. Other essays deal with elementary schooling from the 1920's to the 1960's, labour history, the geographic and social development of neighbourhoods, crime during the Great Depression, and childbirth and hospitalization. The volume provides a lively portrait of city life over a sixty-year period and lays the groudwork for future analysis of the modern metropolis as we know it today.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.010 | 0.001 |
| Scholarly communication | 0.009 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.329 | 0.097 |
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".