Bibliographic record
Abstract
Follows a group of people exiled from Ireland after a failed rebellion and the role they had in the building of new nations and states This book is about the Young Irelanders, a group of Irish nationalists in the mid-nineteenth century, who were responsible for a failed rebellion in Ireland during the Great Famine, who once exiled from Ireland, came to play formative roles in the fledgling democracies of Australia, Canada, and the United States. Christopher Morash illustrates how the Young Ireland generation developed particular philosophies of nationalism, democracy, citizenship, and minority rights in Ireland, which became an integral part of how they engaged with their adopted nations, where they came to occupy significant political and cultural roles. Christopher Morash explores the stories and political trajectories of an acting-Governor of the Territory of Montana and Union Army General, a Confederate newspaper owner, a Premier of Victoria, and many other important figures. Despite their divergent trajectories, these individuals applied many of the same ideas that they had developed during their original Irish political project to their respective nations and movements. Young Ireland is a vital new perspective in the field of Irish diaspora studies, highlighting the impact the Young Ireland generation had on emerging democracies and international debates, both in spite of and because of their defeat and dispersion.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.119 | 0.072 |
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".