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Record W1978792980 · doi:10.7202/031134ar

“We who have wallowed in the mud of Flanders”: First World War Veterans, Unemployment and the Development of Social Welfare in Canada, 1929-1939

2006· article· en· W1978792980 on OpenAlexaffvenueabout
Lara Campbell

Bibliographic record

VenueJournal of the Canadian Historical Association · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsUnemploymentCourageMilitary servicePoliticsGreat DepressionPovertyWelfare stateSocial WelfareSocial policyNew DealWelfareRhetoricPolitical sciencePolitical economyState (computer science)DutySociologyLawEconomic growthEconomics

Abstract

fetched live from OpenAlex

During the Great Depression, First World War veterans built on a history of post-war political activism to play an important role in the expansion of state-sponsored social welfare. Arguing that their wartime sacrifices had not been properly rewarded, veterans claimed that they were entitled to state protection from poverty and unemployment on the home front. The rhetoric of patriotism, courage, sacrifice, and duty created powerful demands for jobs, relief, and adequate pensions that should, veterans argued, be administered as a right of social citizenship and not a form of charity. At the local, provincial, and national political levels, veterans fought for compensation and recognition for their war service, and made their demands for jobs and social security a central part of emerging social policy.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.165
Threshold uncertainty score0.968

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0510.013
Scholarly communication0.0100.002
Open science0.0020.004
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0050.000

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 head0.009
GPT teacher head0.192
Teacher spread0.183 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations8
Published2006
Admission routes3
Has abstractyes

Explore more

Same venueJournal of the Canadian Historical AssociationSame topicCanadian Identity and HistoryFrench-language works237,207