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Record W2902122357 · doi:10.1093/ahr/rhy359

M<scp>ark</scp> G. M<scp>cGowan</scp>. <i>The Imperial Irish: Canada’s Irish Catholics Fight the Great War, 1914–1918</i>.

2018· article· en· W2902122357 on OpenAlexaffabout
Terence J. Fay

Bibliographic record

VenueThe American Historical Review · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsIrishImmigrationFamineHistoryHistoriographyMillerWorld War IIEconomic historyEthnologyArchaeology

Abstract

fetched live from OpenAlex

Mark G. McGowan has published numerous volumes on Canadian Catholic history, and in this latest volume, The Imperial Irish, he demonstrates that the Irish Canadians in the hope of Home Rule for Ireland accepted British imperial policy in regard to the South African War and first European World War. Irish immigrants who arrived in Canada in the 1820s welcomed the famine immigrants in 1847 (28). McGowan explains that the Irish Canadians found Canada a good place to live, accepted British imperial policy, and established themselves in Canada. They identified with the English culture in Ontario and the Catholic Church in Quebec but found these cultural bonds divisive. The English-speaking Irish Catholics had different interests from English Protestants and incurred discrimination on social, economic, and educational levels, but their culture was also distinctive from the deeply rooted French Canadian culture. McGowan’s introduction reveals his comfort with Canadian immigrant historiography as he places his study among the immigrant histories of Cecil J. Houston and William J. Smyth, John Moir, Donald Akenson, David Wilson, and Kerby Miller, offering a solid foundation for the study of Irish Canadian immigration history.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.608
Threshold uncertainty score0.780

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.2020.069

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 head0.027
GPT teacher head0.240
Teacher spread0.213 · 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 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

Citations0
Published2018
Admission routes2
Has abstractyes

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