MétaCan
Menu
Back to cohort
Record W3023346774 · doi:10.59962/9780774850995

Saints, Sinners, and Soldiers

2007· book· en· W3023346774 on OpenAlexaboutno aff
Jeffrey A. Keshen

Bibliographic record

VenueUniversity of British Columbia Press eBooks · 2007
Typebook
Languageen
FieldSocial Sciences
TopicMilitary History and Strategy
Canadian institutionsnot available
Fundersnot available
KeywordsArtHistoryAncient history

Abstract

fetched live from OpenAlex

It was the “Good War.” Its cause was just; it ended the depression; and Canada’s contribution was nothing less than stellar. Canadians had every reason to applaud themselves, and the heroes that made the nation proud. But the dark truth was that not all Canadians were saints or soldiers. Indeed, many were sinners. In this eye-opening and captivating reassessment of Canadian commitment to the cause, some disturbing questions come to light. Were citizens working as hard as possible to back the war effort? Was there illegal profiting from the conflict? Did Canadian society suffer from a general decline of “morality” during the war? Would women truly “back the attack” in new factory jobs and the military, and then quietly return home? Would unattended youth produce a crisis with juvenile delinquency? How would Canada reintegrate a million veterans who, policy-makers feared, would create a social crisis if treated like their Great War counterparts? The first-ever synthesis of both the patriotic and the problematic in wartime Canada, Saints, Sinners, and Soldiers shows how moral and social changes, and the fears they generated, precipitated numerous, and often contradictory, legacies in law and society. From labour conflicts, to the black market, to prostitution, and beyond, Keshen acknowledges the underbelly of Canada’s Second World War, and demonstrates that the “Good War” was a complex tapestry of social forces – not all of which were above reproach.

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 categoriesMeta-epidemiology (narrow)
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 score0.215
Threshold uncertainty score1.000

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 studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.017
GPT teacher head0.202
Teacher spread0.185 · 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.

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

Citations1
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueUniversity of British Columbia Press eBooksSame topicMilitary History and StrategyFrench-language works237,207