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Record W2175727344

Creating "A Great Ireland in America": Reading and Remembrance in Buffalo, New York, 1872-1888

2014· article· en· W2175727344 on OpenAlexaff
William Jenkins

Bibliographic record

VenueHistorical geography · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicIrish and British Studies
Canadian institutionsYork University
Fundersnot available
KeywordsDiasporaIrishNationalismReading (process)Print culturePoliticsMedia studiesHistoryGender studiesSociologyGenealogyPolitical scienceLawLinguistics
DOInot available

Abstract

fetched live from OpenAlex

Recent writing on diasporas has encouraged a shift away from viewing them as either quantifiable entities or as inevitable outcomes of international migration. Scholars now seek to highlight the ways in which diasporic identities are actively made and remade, and the connections forged both within and between places from such efforts. This paper addresses two dimensions of the process as they related to individuals of Irish birth and ancestry in Buffalo, New York, in the late nineteenth century. The first dimension relates to print culture and the role of the weekly Catholic Union newspaper in structuring and circulating a diaspora nationalism with a strong anticolonial identification, the second to the process of performing public acts of Irish nationalist memory that were simultaneously declarations of American loyalty. In the latter case, Robert Emmet (1778-1803), organizer of the 1803 rebellion in Dublin, became the pivotal figure around which a culture of commemoration took shape from the mid-1880s onwards. Together, these two dimensions of reading and remembrance offer examples of how diaspora-related cultural creativity was fashioned and articulated in one place and how it could be used to project a distinct Irish-American community while mobilizing opinions about Ireland’s political future.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.411
Threshold uncertainty score0.818

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 studies0.0110.008
Scholarly communication0.0040.003
Open science0.0010.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0090.001

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 head0.016
GPT teacher head0.243
Teacher spread0.227 · 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 designQualitative
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
Published2014
Admission routes1
Has abstractyes

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