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Record W2467915963 · doi:10.1017/ihs.2016.6

Friends of Ireland: early O’Connellism in Lower Canada

2016· article· en· W2467915963 on OpenAlexaffabout
Shane Lynn

Bibliographic record

VenueIrish Historical Studies · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicIrish and British Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsIrishHistoryHome ruleNationalismEmancipationFamineEconomic historyRepealPolitical scienceLawPoliticsArchaeology

Abstract

fetched live from OpenAlex

Abstract In September 1828, societies of the ‘Friends of Ireland’ were founded throughout the United States and British North America for the purpose of raising funds and disseminating propaganda in support of the O’Connellite campaign for Catholic emancipation. In March 1831, the societies were briefly revived to agitate for repeal of the Union. The first Irish diasporic social movement to appear in Britain’s overseas empire, the British North American Friends of Ireland enjoyed greatest support in French-speaking Lower Canada, where for a time sympathetic localpatriotesperceived a common cause with their new Irish neighbours. This article explores the transatlantic reciprocal interactions, cross-ethnic alliances and regional distinctions which characterised early O’Connellism in Lower Canada. It follows its initial successes to its virtual collapse in the early 1830s, as an increasingly polarised Lower Canada slid towards rebellion. Comparisons are employed with similar agitation elsewhere in British North America, in the United States, and in Ireland. It is argued that instrumentalist explanations for Irish diasporic nationalism, typically drawn from studies of post-famine Irish-America, do not convincingly account for the appearance and form of O’Connellite nationalism in British North America.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.123
Threshold uncertainty score0.896

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 studies0.0330.011
Scholarly communication0.0050.002
Open science0.0020.006
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0090.000

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 head0.029
GPT teacher head0.282
Teacher spread0.253 · 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
Published2016
Admission routes2
Has abstractyes

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