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Record W2561455042 · doi:10.1353/gpq.2016.0064

We’re Going to Run This City: Winnipeg’s Political Left after the General Strike by Stefan Epp-Koop

2016· article· en· W2561455042 on OpenAlexaboutno aff
George Melnyk

Bibliographic record

VenueGreat plains quarterly · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsPoliticsEliteRepresentation (politics)Industrial cityHistoryEconomic historyWorking classGeorge (robot)SociologyLawPolitical scienceArt history

Abstract

fetched live from OpenAlex

Reviewed by: We’re Going to Run This City: Winnipeg’s Political Left after the General Strike by Stefan Epp-Koop George Melnyk We’re Going to Run This City: Winnipeg’s Political Left after the General Strike. By Stefan Epp-Koop. Winnipeg: University of Manitoba Press, 2015. ix + 197 pp. Illustrations, tables, notes, bibliography, index. $24.95 cad/ $27.95 usd, paper. Winnipeg is western Canada’s oldest city. It is also the region’s most fabled urban center because of its association with insurrectionary and left-wing events. Some of these events predate incorporation (1873)—the Seven Oaks Massacre of 1816 in which fur traders and settlers clashed and 1869 when Louis Riel and the Métis declared a provisional government that led to the formation of the province of Manitoba shortly thereafter. In 1919 the city experienced a general strike that was broken by the military and the police. It was that strike that provided an impetus for the city’s labor movement to work hard on electoral representation in municipal politics. Epp-Koop’s book is a serious and detailed study of the post-strike period in Winnipeg’s municipal politics, extending into the 1930s. The author concludes that the battles between left and right, the working class and the elite, resulted in a “deeply divided” city. The divisions were not only class-based, they were also ethnic. While Winnipeg did not have the racial divisions that developed in American urban centers, it did share some of the attributes of the new cities formed in the Great Plains. These cities experienced rapid population growth fueled by settlers and immigrants, rampant real estate speculation, and labor exploitation associated with railroad expansion into the West. The study of how these class divisions played out in Winnipeg becomes a reference for understanding similar phenomenon in other cities of the region. In the period between 1920 and 1940 two political parties came to represent the left in Winnipeg—the Independent Labour Party (ilp), which had a moderate social democratic ideology based in English socialism, and the Communist Party of Canada (cpc), which favored a robust proletarian agenda promoted by the Russian Revolution. Both parties vied for voters in Ward 3, whose demographic was solidly working class and ethnic. Eventually ilp candidates were able to win the mayoralty race and a plurality on city council with the aid of cpc representatives. But the results in terms of social change and economic benefits for workers were modest. Nevertheless, the continued presence of the left on city council helped define urban politics for decades. Epp-Koop is a good writer and his narrative is both analytical and persuasive. His portrayal of the personalities who dominated the left in Winnipeg is engaging, while his discussion of municipal election issues is clear and precise. He makes use of numerous sources to bolster his argument. Clearly he is friendly [End Page 339] toward the left. However, the text would have benefited from more lines being drawn between what was happening in urban politics and what was going on provincially and federally for the left. This absence contributes to a certain narrowness. Second, the book would have made a contribution to urban studies rather than just political science by adding a descriptive sociological commentary on working-class life in Winnipeg that would have contextualized the policies advocated by elected representatives of the working class. [End Page 340] George Melnyk Department of Communication, Media, and Film University of Calgary Copyright © 2016 Center for Great Plains Studies, University of Nebraska–Lincoln

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.682
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.002

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.

Opus teacher head0.013
GPT teacher head0.244
Teacher spread0.231 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

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