Irish migrants in new communities : seeking the fair land?
Bibliographic record
Abstract
Part 1: Fitting in Chapter 1- Tribal Kings and Tattooed Chiefs: The Hidden Irish of the Pacific World Malcolm Campbell Chapter 2- Legends of the Graceville Conamaras Bridget Connelly Chapter 3- 'Je ne suis jamais alle en Irlande': An Irish Journey to La Beauce, Quebec Noemie Beck and Gearoid O hAllmhurain Chapter 4- 'Nobody's baby': Forgotten Irish nationals in post-independence India Kate O'Malley Chapter 5- Sisters in the field: The courageous journey of the pioneering Loreto sisters to India and Canada Tara Manning Chapter 6- Irish Soldiers in the American Civil War Patricia B. Swan and James B. Swan Part 2: Shaping up Chapter 7- The Irish Wellspring Jay Tunney Chapter 8- 'From Poverty to Posterity': Assisted Emigration from Connemara in the 1880s Gerard Moran Chapter 9- Michael Mooney and the Leadville Miners' Strike of 1880 James Patrick Walsh Chapter 10- 'I Wish I Was Back Home in Derry': Songs Composed in the H Blocks and the Paradox of Exile Lachlan Whalen
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.006 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.023 | 0.003 |
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".