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Record W2070076792 · doi:10.7202/039674ar

Homeland Crisis and Local Ethnicity: The Toronto Irish and the Cartoons of the <i>Evening Telegram</i> 1910–1914

2010· article· en· W2070076792 on OpenAlexvenueaboutno aff
William Jenkins

Bibliographic record

VenueUrban History Review · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsIrishNationalismHomelandHistoryMedia studiesMythologyDiasporaEthnic groupIdentity (music)Gender studiesSociologyArtPolitical scienceLawAnthropologyClassicsAestheticsLinguistics

Abstract

fetched live from OpenAlex

This article examines a critique of the “diasporic nationalism” affecting the Irish in Canada through the lens of Toronto, a key destination for Irish immigrants in the nineteenth century. Situated in the period of the third home rule bill and the articulation of opinion about it in Toronto (1910–1914), the article concentrates on the city’s media and particularly the visual content of cartoons published in the strongly pro-empire Evening Telegram. The author demonstrates how a familiar repertoire of Irish symbols and myths was grafted onto the bodies of Toronto’s “Irish” and/or “Ulster” personalities, connecting them with events on the other side of the Atlantic. These satirical representations also informed readings of Irishness in Toronto. They suggest that while a nationalist “green” identity had acquired a respectable and largely middle-class character among Catholics of Irish birth and ancestry in the early twentieth century, there were still forces at work that resisted placement of the latter group on a footing equal to the city’s Protestant majority.

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)0.001
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 score0.060
Threshold uncertainty score0.437

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.005
Science and technology studies0.0070.009
Scholarly communication0.0050.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.000

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 head0.015
GPT teacher head0.236
Teacher spread0.221 · 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

Citations5
Published2010
Admission routes2
Has abstractyes

Explore more

Same venueUrban History ReviewSame topicCanadian Identity and HistoryFrench-language works237,207