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Record W2037172076 · doi:10.1080/02619280500188435

Deconstructing Diasporas: Networks and Identities among the Irish in Buffalo and Toronto, 1870–1910

2005· article· en· W2037172076 on OpenAlexaboutno aff
William Jenkins

Bibliographic record

VenueImmigrants & Minorities · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicIrish and British Studies
Canadian institutionsnot available
Fundersnot available
KeywordsIrishPoliticsSociologyContingencyIdentity (music)Gender studiesPeriod (music)IndustrialisationSocial identity theoryEconomic geographySocial groupSocial sciencePolitical scienceGeographyLawAesthetics

Abstract

fetched live from OpenAlex

With a view to contributing to recent calls for the integration of comparative and transnational perspectives in Irish migration history, this essay describes various networks established within Irish communities in two North American cities from 1870 to 1910, and explores their role in personal and group identity formation in particular. Case studies from Buffalo and Toronto are used to underscore the importance of spatial, as well as historical, contingency in appreciating the geographies of not simply one, but several, interrelated Irish diasporas. Focusing on these cities also illuminates the difference that these networks made to the everyday lives and social landscapes of Catholics and Protestants of Irish background in the United States and Canada during a period of intensified industrialisation. As this study shows, networks socially interconnected economic, cultural, religious and political spheres for these migrants, while also linking their localities to social fields operating at wider geographical scales.

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 score0.057
Threshold uncertainty score0.413

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0160.013
Scholarly communication0.0060.002
Open science0.0010.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.009
GPT teacher head0.260
Teacher spread0.251 · 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

Citations18
Published2005
Admission routes1
Has abstractyes

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