MétaCan
Menu
Back to cohort
Record W4387629305 · doi:10.1515/9780887553943

Winnipeg 1912

2005· book· en· W4387629305 on OpenAlexaboutno aff
Jim Blanchard

Bibliographic record

VenueUniversity of Manitoba Press eBooks · 2005
Typebook
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsEnvironmental science

Abstract

fetched live from OpenAlex

At the beginning of the last century, no city on the continent was growing faster or was more aggressive than Winnipeg. No year in the city’s history epitomized this energy more that 1912, when Winnipeg was on the crest of a period of unprecedented prosperity. In just forty years, it had grown from a village on the banks of the Red River to become the third largest city in Canada. In the previous decade alone, its population had tripled to nearly 170,000 and it now dominated the economy and society of western Canada. As Canada’s most cosmopolitan and ethnically diverse centre, with most of its population under the age of forty, it was also the country’s liveliest city, full of bustle and optimism. In Winnipeg 1912 Jim Blanchard guides readers on a tour through this golden year when, as the Chicago Tribune proclaimed, “all roads lead to Winnipeg.” Beginning early New Year’s Day, as the city’s high society rang in 1912 at the Royal Alexandra Hotel, he visits the public and private side of the “Chicago of the North.” He looks into the opulent mansions of the city’s new elite and into its political backrooms, as well as into the crowded homes of Winnipeg’s immigrant North End. From the excited crowds at the summer Exhibition to the turbulent floor of the Grain Exchange, Blanchard gives us a vivid picture of daily life in this fast-paced city of new millionaires and newly arrived immigrants. Richly illustrated with more than seventy period photographs, Winnipeg 1912 captures a time and place that left a lasting impression on Canadian history and culture.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.260
Threshold uncertainty score0.837

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 communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.021
GPT teacher head0.188
Teacher spread0.167 · 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; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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

Citations2
Published2005
Admission routes1
Has abstractyes

Explore more

Same venueUniversity of Manitoba Press eBooksSame topicCanadian Identity and HistoryFrench-language works237,207