Saving Ireland in Juteopolis: Gender, Class and Diaspora in the Irish Ladies’ Land League
Bibliographic record
Abstract
Abstract First established in New York in 1880, the Irish Ladies’ Land League soon had branches across Ireland, the USA, Britain, Canada and Australasia and represented an unprecedented advance in Irish women’s political activism. In Dundee, Scotland the organization found a particularly receptive environment due to the distinctive gender balance of the Irish community there, with working-class women a large majority. This article analyses how a transnational movement translated into a local setting and how emigrants’ activism was shaped by factors of class, gender and religion. The circulation of mobile agitators and newspapers connected local branches in Dundee with the wider world of the Irish land reform movement, and this article seeks to uncover a more textured picture of the people who collected funds, attended rallies, and who are too often considered in the plural, as anonymous supporters grouped together under ethnic or political banners. The picture that emerges challenges existing views of the Ladies’ Land League as a predominantly middle-class affair. In Dundee the members were overwhelmingly working-class and their harsh experiences in the city’s jute industry shaped their activism. Local Catholic networks and ideas of religious humanitarianism contributed significantly to the branches, yet clergymen did not direct their activities, rather they responded to women’s mobilization.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.007 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".