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Record W2434734583 · doi:10.2307/3659834

[no title]

2003· article· en· W2434734583 on OpenAlexaboutno aff
Timothy J. Meagher, David T. Gleeson

Bibliographic record

VenueJournal of American History · 2003
Typearticle
Languageen
FieldSocial Sciences
TopicIrish and British Studies
Canadian institutionsnot available
Fundersnot available
KeywordsIrishImmigrationHistoryDiasporaIrish nationalismNationalismPolitical scienceEthnologySociologyGender studiesReligious studiesLawPoliticsPhilosophy

Abstract

fetched live from OpenAlex

One of the most exciting and significant themes in Irish immigrant history has been the importance of local, regional, and even national variations in the experiences of the Irish living in the many countries of what has been called the Irish Diaspora. Over the last thirty years, for example, historians have argued that Irish immigrants fared significantly better in the favorable environments of the American Far West and Midwest or even in Canada and Australia than they did in Boston, the rest of New England, or New York City. Dr. David T. Gleeson's book builds on this previous work as it sets out to explore the question of how and why Irish immigrant experiences in the nineteenth-century American South also differed from those in the Northeast. Gleeson asserts that “native tolerance” of the Irish in the South was one critical reason for such differences (p. 192). He cites several possible reasons for such tolerance, but the most significant and intriguing of them center on the Irish immigrant' enthusiastic endorsement of slavery and white supremacy, which allayed southern native' suspicions of Irish commitments to Catholicism or to Irish nationalism. Gleeson quotes one Protestant southerner who noted approvingly, “Popery …[is] a horrid system,” but the Catholic Church is “the most conservative church in the Union on the subject of slavery” (p. 119).

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)0.002
metaresearch head score (Gemma)0.002
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.147
Threshold uncertainty score0.847

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
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 head0.272
Teacher spread0.254 · 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
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

Citations0
Published2003
Admission routes1
Has abstractyes

Explore more

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