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Record W4211090052 · doi:10.1017/9781139644327

Ireland's Empire

2019· book· en· W4211090052 on OpenAlexaboutno aff
Colin Barr

Bibliographic record

VenueCambridge University Press eBooks · 2019
Typebook
Languageen
FieldSocial Sciences
TopicIrish and British Studies
Canadian institutionsnot available
Fundersnot available
KeywordsIrishBishopsEmpireHistoryIdentity (music)GenealogyAncient historyPolitical scienceArtLaw

Abstract

fetched live from OpenAlex

How did the Irish stay Irish? Why are Irish and Catholic still so often synonymous in the English-speaking world? Ireland's Empire is the first book to examine the complex relationship between Irish migrants and Roman Catholicism in the nineteenth century on a truly global basis. Drawing on more than 100 archives on five continents, Colin Barr traces the spread of Irish Roman Catholicism across the English-speaking world and explains how the Catholic Church became the vehicle for Irish diasporic identity in the United States, Australia, Canada, South Africa, New Zealand, Newfoundland, and India between 1829 and 1914. The world these Irish Catholic bishops, priests, nuns, and laity created endured long into the twentieth century, and its legacy is still present today.

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)0.002
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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.115
Threshold uncertainty score0.229

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.008
Scholarly communication0.0090.003
Open science0.0010.003
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0130.003

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 head0.233
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

Citations1
Published2019
Admission routes1
Has abstractyes

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