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Record W4364387785

Square-Toed Boots and Felt Hats: Irish Revolutionaries and the Invasion of Canada (1848-1871)

2014· article· en· W4364387785 on OpenAlexaboutno aff
Marta Ramón-García

Bibliographic record

VenueConsultation of the Doctoral Thesis Database (TESEO) (Ministerio de Educación, Cultura y Deporte) · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicIrish and British Studies
Canadian institutionsnot available
Fundersnot available
KeywordsIrishSquare (algebra)GeologyMathematicsPhilosophyGeometry
DOInot available

Abstract

fetched live from OpenAlex

The Fenian movement was born in 1858 as an alliance between the Irish Republican Brotherhood, a revolutionary secret society, and the Fenian Brotherhood, an Irish-American organisation intended to supply this society with funds and trained officers. This was not the first time that Irish nationalists on both sides of the Atlantic had tried to cooperate, but it was the first time that there was a steady arrangement in place. The Fenian partnership was extremely successful on the surface, but it was undermined by fundamental differences in customs, political attitudes and ultimate goals between Irish and American Fenians. The clearest evidence of these differences was afforded by the Fenian Brotherhood’s successive attempts to invade Canada between 1866 and 1871. As military episodes the Canadian raids were negligible; as Irish revolutionary attempts they seem absurd. However, they were a perfectly coherent manifestation of the Irish-American “hyphenated identity”. The present article traces the parallel evolution of the Irish Republican Brotherhood and the Fenian Brotherhood up to 1866, and reconstructs the cultural and political reasons for the revival of the Canadian scheme, the ensuing split in the Fenian Brotherhood, and the final collapse of the Fenian alliance.

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: none
Teacher disagreement score0.141
Threshold uncertainty score0.997

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0260.012
Scholarly communication0.0070.002
Open science0.0010.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0080.001

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 head0.021
GPT teacher head0.270
Teacher spread0.249 · 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

Explore more

Same venueConsultation of the Doctoral Thesis Database (TESEO) (Ministerio de Educación, Cultura y Deporte)Same topicIrish and British StudiesFrench-language works237,207