Bibliographic record
Abstract
The third instalment in Jim Blanchard’s popular history of early Winnipeg, "A Diminished Roar" presents a city in the midst of enormous change. Once the fastest growing city in Canada, by 1920 Winnipeg was losing its dominant position in western Canada. As the decade began, Winnipeggers were reeling from the chaos of the Great War and the influenza pandemic. But it was the divisions exposed by the 1919 Winnipeg General Strike which left the deepest marks. As Winnipeg wrestled with its changing fortunes, its citizens looked for new ways to imagine the city’s future and identity. Beginning with the opening of the magnificent new provincial legislature building in 1920, A Diminished Roar guides readers through this decade of political and social turmoil. At City Hall, two very different politicians dominated the scene. Winnipeg’s first Labour mayor, S.J. Farmer, pushed for more public services. His rival, Ralph Webb, would act as the city’s chief “booster” as mayor, encouraging U.S. tourists with the promise of“snowballs and highballs.” Meanwhile, promoters tried to rekindle the city’s spirits with plans for new public projects, such as a grand boulevard through the middle of the city, a new amusement park, and the start of professional horse racing. In the midst of the Jazz Age, Winnipeg’s teenagers grappled with “problems of the heart,” and social groups like the Gyro Club organized masked balls for the city’s elite.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.021 | 0.009 |
| Scholarly communication | 0.015 | 0.009 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.044 | 0.013 |
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".